Tiger Data

Tiger Data Competitive Intelligence & Landscape

tigerdata.com ·

Tiger Data
ForesightIQ Predictions

What is Tiger Data likely to do next?

ForesightIQ connects Tiger Data's hiring, product, web, ad, and market signals to forecast strategic moves — often months before they're announced.

Hiring signal

Senior hiring patterns point to a planned enterprise product line launching within two quarters.

High confidence · Next 1–2 quarters
Product signal

Quiet changes to docs and pricing pages signal an upcoming usage-based pricing tier and new API surface.

Likely · Next quarter
Market signal

Ad spend and partnership activity indicate a push into the mid-market segment across two new regions.

Plausible · Next 2–3 quarters
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Overview

Tiger Data Overview

Tiger Data (tigerdata.com), operating as Timescale, Inc. d/b/a Tiger Data, is a company dedicated to transforming how the world uses data by making powerful PostgreSQL database technology faster, simpler, and more accessible [tigerdata.com/careers][tigerdata.com/legal/privacy]. They specialize in handling the scale and complexity of time-series data, offering high performance, faster development, and lower storage costs for demanding workloads [tigerdata.com/time-series-b]. The company is engineering-led and open-source at its core, with a remote-first work culture [tigerdata.com/careers/2dd6e5e3-857f-4b45-b68e-2a16e0b4bfed].

Tiger Data provides a suite of products designed for various deployment needs. Their flagship offering, Tiger Cloud, is a fully managed, highly available PostgreSQL database built on TimescaleDB for production environments, promising 99.9% uptime SLA and petabyte scale for time series, events, real-time analytics, and vector search [tigerdata.com/cloud][tigerdata.com/docs/]. For self-managed solutions, they offer TimescaleDB Enterprise, a commercially licensed database for on-premises, edge, and customer-managed cloud environments [tigerdata.com/newsroom/tiger-data-launches-timescaledb-enterprise-a-self-managed-time-series-database-built-for-on-premises-and-edge-deployment]. They also contribute to the open-source TimescaleDB project, extending PostgreSQL for live data, particularly sensor and machine data, built for industrial, energy, and robotics systems [tigerdata.com].

The company's core technology is built on fundamental primitives for ingesting, storing, and analyzing data at scale. These include automatic partitioning for fast reads and writes, row-columnar storage for efficient analytics, tiered storage to optimize costs, and Lakehouse integration for seamless data flow from Kafka and S3 to Iceberg [tigerdata.com/time-series-b]. They also provide over 200 SQL functions specifically for time-based analytics and offer hybrid retrieval with keywords, vectors, filters, and ranking for search functionalities.

Tiger Data is enterprise-ready, meeting stringent security and operational requirements with encryption, high availability, automated backups, and compliance with SOC 2 Type II, GDPR, and HIPAA [tigerdata.com/security].

Competitors

Tiger Data Competitors

Tiger Data (formerly Timescale Inc.), creators of TimescaleDB, operates in a competitive landscape, with several companies vying for market share in time-series, analytics, and AI data platforms. One prominent competitor is InfluxData, which also specializes in time-series databases. While Tiger Data leverages PostgreSQL for its robust, scalable solutions for industrial, energy, and robotics systems, InfluxData offers its own purpose-built time-series database, InfluxDB, often catering to IoT, monitoring, and analytics workloads. The key differentiators often lie in their underlying architecture and ecosystem integration, with Tiger Data emphasizing its PostgreSQL-native access and compatibility, and InfluxData providing a more opinionated, specialized environment. Pricing models for both typically involve consumption-based or enterprise licensing, with feature sets often tailored to performance, scalability, and integration needs. [Source: https://tracxn.com/d/companies/tigerdata/__iys0ki5tw6YwN_BjCmsWXF7nvgygpi2lguWKqPBpz0c]

ClickHouse stands as another significant competitor to Tiger Data.

ClickHouse is an open-source columnar database management system designed for high-performance analytical queries. While Tiger Data extends PostgreSQL to handle petabyte-scale time-series data and real-time analytics with features like automatic partitioning and row-columnar storage, ClickHouse is often chosen for its extreme speed in processing large analytical datasets.

ClickHouse's market positioning leans towards raw query performance for big data analytics, whereas Tiger Data emphasizes its Postgres compatibility and a broader suite of time-series functions and AI/vector capabilities. Companies like Tinybird offer managed ClickHouse services, highlighting its developer experience and real-time analytics over Kafka topics. Pricing for ClickHouse implementations can vary widely depending on whether it's self-managed or a managed service, similar to Tiger Data's offerings. [Source: https://tracxn.com/d/companies/tigerdata/__iys0ki5tw6YwN_BjCmsWXF7nvgygpi2lguWKqPBpz0c] [Source: https://www.cbinsights.com/company/timescale/alternatives-competitors] [Source: https://www.tinybird.co/blog/TimescaleDB-TigerData-Alternatives]

Scylla is another strong contender, primarily known for its high-performance NoSQL database that is API-compatible with Apache Cassandra and Amazon DynamoDB. Unlike Tiger Data's PostgreSQL-based foundation, Scylla is designed for ultra-low latency and high-throughput workloads, often in environments requiring massive scalability and availability. While Tiger Data excels in time-series and real-time analytics built on a familiar SQL interface, Scylla targets use cases demanding extreme operational performance for large, distributed datasets. Their market shares often diverge based on whether a company prioritizes the PostgreSQL ecosystem and rich SQL analytics (as offered by Tiger Data) or the distributed NoSQL architecture and raw speed of Scylla. Pricing models reflect these different architectural approaches and the scale of deployment. [Source: https://tracxn.com/d/companies/tigerdata/__iys0ki5tw6YwN_BjCmsWXF7nvgygpi2lguWKqPBpz0c]

Finally, the broader database management industry includes companies like SingleStore, which integrate transactional and analytical processing with multi-model data types and AI capabilities. While Tiger Data focuses on enhancing PostgreSQL for time-series, real-time analytics, and vector workloads, SingleStore offers a unified database platform capable of handling diverse operational and analytical needs across various data types.

SingleStore's market positioning is around providing a single, performant database for a wide array of enterprise applications, including AI. This contrasts with Tiger Data's specialized focus on time-series data and its deep integration with the PostgreSQL ecosystem, including a new service designed for AI agents. The choice between them often depends on whether a company seeks a specialized time-series and Postgres-centric solution or a more generalized, multi-modal database for varied workloads. [Source: https://www.cbinsights.com/company/timescale/alternatives-competitors] [Source: https://siliconangle.com/2026/06/09/tiger-data-launches-postgresql-extension-designed-ai-agents/]

Alternatives

Tiger Data Alternatives

Product & Pricing

Tiger Data Product and Pricing Intelligence

Tiger Data (tigerdata.com) offers flexible pricing plans for its Tiger Cloud service, designed to cater to a diverse range of users from startups to large enterprises. Recognizing that "one size doesn't fit all," Tiger Data allows users to tailor their services to specific business and engineering requirements by adding features like I/O boost and customizing their pricing plans [Source: https://www.tigerdata.com/docs/about/latest/pricing-and-account-management]. This modular approach ensures that customers only pay for the features and support levels they need, promoting efficiency and value [Source: https://www.tigerdata.com/docs/deploy/tiger-cloud/tiger-cloud-azure/pricing-and-account-management].

The pricing for Tiger Cloud starts at $30/month, making it accessible for new applications and internal tools that demand strong performance without added complexity. This entry-level offering includes hourly billing and provides significant capabilities, such as up to 4 database services, 8 CPU and 32 GB memory per service, and up to 16 TB of disk storage per service. It also supports up to 5K IOPS and 250 MB/s throughput, along with single-node high-availability replicas and point-in-time recovery for up to three days [Source: https://www.tigerdata.com/pricing].

Beyond the base offerings, Tiger Data provides an Enterprise Plan for businesses with the most demanding security, reliability, and support needs. This plan includes advanced features like SAML and Single Sign-On (SSO) support for secure user authentication, and adheres to SOC 2 Type 2 yearly reports, ensuring compliance and robust security standards [Source: https://www.tigerdata.com/enterprise]. Cloud-exclusive features like tiered storage are also available, with a high-performance block storage tier (up to 64 TB and 80,000 IOPS) and an object storage tier for cost-effective data management [Source: https://www.tigerdata.com/docs/get-started/cloud-exclusive-features]. While many core capabilities of TimescaleDB are available across self-hosted and cloud versions, specific features and their availability vary between Tiger Cloud on AWS, Tiger Cloud on Azure, and self-hosted TimescaleDB Community Edition, with detailed comparisons available on the Tiger Data documentation site [Source: https://www.tigerdata.com/docs/get-started/feature-comparison].

Hiring & Layoffs

Tiger Data Hiring and Layoffs

Tiger Data (tigerdata.com), formerly known as Timescale, actively seeks to expand its globally distributed, remote-first team, reflecting a clear strategic focus on sustained growth and market leadership in the PostgreSQL database technology sector [https://www.tigerdata.com/careers/102b41fb-0982-4e63-93fe-47c3c6fc9630]. The company emphasizes building a data platform trusted by developers, from devices to distributed systems to AI, underscoring its commitment to innovation and empowering users with advanced database solutions [https://www.tigerdata.com/careers]. This approach to hiring signals a confident outlook and a dedication to scaling operations to meet increasing demand for their high-performance PostgreSQL platform.

Recent job postings at Tiger Data reveal a robust hiring trend across various departments, particularly in technical services and customer success. Notable openings include a Database Support Engineer - Weekend (India), a Customer Success Manager, and a Scaled Customer Success Manager, indicating a strong commitment to supporting its growing customer base and ensuring satisfaction [https://www.tigerdata.com/careers/ac8ae587-fd1d-4a3f-b844-7411363e22b2][https://www.tigerdata.com/careers/4e8604be-36b7-409e-acd8-e7665c70c6dc][https://www.tigerdata.com/careers/1bb6979e-029b-4da3-a10e-f07301297124]. Furthermore, the company is also looking to bolster its strategic partnerships with a Head of Cloud Alliances and expand its sales efforts with roles like a Mid-Market Account Executive (Barcelona), suggesting an aggressive expansion into new markets and strengthening cloud integration capabilities [https://www.tigerdata.com/careers/edc4fd57-9f0c-40be-98cd-4aa99f8da481][https://www.tigerdata.com/careers/437dccc1-b6ce-42b7-b36d-206e88c53f89].

Tiger Data's hiring patterns strongly signal a strategy focused on enhancing its PostgreSQL platform for transactional, analytical, and agentic workloads. The company explicitly states its mission to empower developers and businesses with the fastest PostgreSQL platform, a goal that requires continuous investment in engineering, support, and customer-facing roles [https://www.tigerdata.com/careers/ac8ae587-fd1d-4a3f-b844-7411363e22b2]. The company's remote-first and engineering-led culture, coupled with its open-source core, positions it to attract top talent globally, further reinforcing its commitment to making powerful database technology accessible and performant. There is no publicly available information or indication of layoffs at Tiger Data; instead, the focus appears to be squarely on strategic growth through hiring.

Leadership

Tiger Data Management and Leadership Team

Tiger Data (tigerdata.com), formerly known as Timescale, is an engineering-led, remote-first company dedicated to building robust data infrastructure that accelerates the future of data for developers worldwide [https://www.tigerdata.com/about]. The company, which transformed from TimescaleDB to Tiger Data to reflect its expanded vision, focuses on making powerful PostgreSQL database technology faster, simpler, and more accessible for transactional, analytical, and agentic workloads [https://www.tigerdata.com/blog/year-of-the-tiger-110-million-to-build-the-future-of-data-for-developers-worldwide]. Their core mission is to empower developers and businesses globally by providing a platform trusted by thousands of organizations to accelerate real-time insights and power critical infrastructure at scale [https://www.tigerdata.com/careers/6f815417-4e73-4091-a423-dc08c9d15bba].

The leadership team at Tiger Data is instrumental in steering the company's product-led growth and fostering a culture of continuous learning. A key figure in the company's innovation is co-founder and CTO Mike Freedman, who was central to the development of Tiger Lake, a native, bidirectional bridge between Postgres and the lakehouse architecture. Freedman emphasized that this innovation is the

Financials

Tiger Data Financial Performance, Fundraising, M&A

Tiger Data, formerly TimescaleDB, has secured significant funding rounds, demonstrating strong investor confidence in its specialized database solutions for time-series, real-time analytics, and events on PostgreSQL. The company successfully raised a $40 million Series B investment, led by Redpoint Ventures, with continued participation from existing investors including Benchmark, New Enterprise Associates, Icon Ventures, and Two Sigma Ventures. This round notably brought Satish Dharmaraj, Managing Director at Redpoint, onto Tiger Data's board of directors, underscoring the strategic backing the company has garnered [https://www.tigerdata.com/blog/40-million-to-help-developers-measure-everything-that-matters].

Building on this momentum, Tiger Data announced a substantial $110 million Series C funding round, which was led by Tiger Global. All prior investors—Benchmark, New Enterprise Associates, Redpoint Ventures, Icon Ventures, and Two Sigma Ventures—reaffirmed their commitment by participating in this round as well. This Series C, announced in February 2022, highlights the company's robust financial health and its trajectory in developing advanced data solutions for developers worldwide [https://www.tigerdata.com/blog/year-of-the-tiger-110-million-to-build-the-future-of-data-for-developers-worldwide].

Tiger Data offers flexible pricing models for its Tiger Cloud service, including pay-as-you-go options through platforms like AWS Marketplace and Azure Marketplace. This approach allows customers to integrate consumption-based billing directly into their existing cloud invoices, eliminating upfront costs and providing scalability. While specific revenue figures are not publicly disclosed, the availability of enterprise plans and personalized quotes, alongside its global support organization boasting over 99% Customer Satisfaction (CSAT) scores, indicates a strong focus on enterprise clients and a healthy operational framework [https://www.tigerdata.com/docs/about/latest/pricing-and-account-management][https://www.tigerdata.com/docs/deploy/tiger-cloud/tiger-cloud-azure/pricing-and-account-management].

Partnerships

Tiger Data Partnerships, Clients and Vendors

Tiger Data actively cultivates a robust ecosystem of partnerships, clients, and integrations to deliver its specialized PostgreSQL solutions. The company has established a significant strategic collaboration agreement (SCA) with Amazon Web Services (AWS). This partnership, announced in October 2025 and effective November 2025, aims to accelerate the delivery of modern data infrastructure built on Postgres, offering a unified platform for developers, devices, and AI agents. This collaboration includes tighter technical integrations, expanded joint go-to-market programs, and solutions leveraging AWS analytics and AI services.

Beyond AWS, Tiger Data engages with a diverse set of partners and clients across various industries. A notable strategic alliance exists with Inductive Automation, announced in April 2026, focused on modernizing the industrial historian market by combining Tiger Data's capabilities with Inductive Automation's Ignition industrial application platform. The company's client roster includes Indexing.co, which utilizes Tiger Data for managing and processing vast amounts of blockchain data in the Internet Software & Services sector, and Silvertide Financial, a Capital Markets firm that leverages TimescaleDB on AWS to analyze large financial datasets and improve trading strategy analysis.

CERN science research is also a key client, reporting significant speed-ups in query performance using Tiger Data.

Tiger Data's platform, particularly Tiger Cloud, boasts extensive integration capabilities due to its PostgreSQL-native architecture. This allows seamless integration with any third-party solution compatible with PostgreSQL. Specific integrations listed include connectors like S3 and Kafka for data synchronization, and tools for authentication such as Auth.js, Auth0, and Okta. For business intelligence and analytics, Tiger Data integrates with platforms like Cube.js and Looker, and for observability and alerting, it supports Amazon CloudWatch. Additionally, it integrates with Amazon SageMaker for machine learning workflows, demonstrating its commitment to providing comprehensive solutions across the data stack.

Events

Tiger Data Event Participations

Tiger Data actively engages with its community and industry through a diverse calendar of virtual and in-person events [tigerdata.com/events]. These events provide opportunities for users and potential customers to connect with the Tiger Data team, learn about their TimescaleDB solutions, and explore the latest advancements in time-series, analytics, and vector data management. Their participation spans various formats, including major industry conferences, specialized trade shows, and dedicated webinars.

Tiger Data frequently hosts and participates in webinars designed to educate developers and data professionals on various aspects of time-series data and PostgreSQL. Notable past and upcoming webinars include

Frequently Asked Questions

What do Tiger Data's recent hiring patterns suggest about their strategic direction?

Tiger Data's recent hiring patterns suggest a strategic focus on expanding its global customer support and sales capabilities, alongside strengthening cloud integration. Notable openings include Database Support Engineers, Customer Success Managers, a Head of Cloud Alliances, and a Mid-Market Account Executive for Barcelona, indicating an aggressive expansion into new markets and a commitment to servicing a growing customer base.

How do Tiger Data's funding rounds reflect investor confidence and market position?

Tiger Data's successful Series B ($40 million) and Series C ($110 million) funding rounds, led by Redpoint Ventures and Tiger Global respectively, demonstrate strong investor confidence in its specialized PostgreSQL-based solutions. The participation of all prior investors in the Series C round, including Benchmark and NEA, highlights robust financial health and a trajectory towards leadership in time-series, real-time analytics, and event data solutions.

What does Tiger Data's strategic collaboration with AWS signal about its cloud strategy?

Tiger Data's strategic collaboration agreement (SCA) with AWS, effective November 2025, signals a deep commitment to its cloud strategy, particularly enhancing its presence within the AWS ecosystem. This partnership aims to accelerate modern data infrastructure delivery, offering a unified platform for developers, devices, and AI agents through tighter technical integrations and expanded joint go-to-market programs leveraging AWS analytics and AI services.

What is the implication of Tiger Data's partnership with Inductive Automation?

Tiger Data's strategic alliance with Inductive Automation, announced in April 2026, implies a strong move into modernizing the industrial historian market. By combining Tiger Data's advanced database capabilities with Inductive Automation's Ignition industrial application platform, the partnership targets enhanced data management and analytics for industrial, energy, and robotics systems.

How does Tiger Data's product strategy address different deployment needs and customer segments?

Tiger Data's product strategy addresses different deployment needs by offering Tiger Cloud for managed services and TimescaleDB Enterprise for self-managed on-premises, edge, or customer-managed cloud environments. This dual approach caters to both startups and large enterprises, ensuring flexibility in deployment while leveraging their PostgreSQL-native architecture for high-performance time-series, analytics, and vector data.

What does the 'Year of the Tiger' rebranding signify for TimescaleDB's market approach?

The 'Year of the Tiger' rebranding, moving from TimescaleDB to Tiger Data, signifies an expanded market vision beyond just time-series data to encompass transactional, analytical, and agentic workloads on PostgreSQL. This shift reflects the company's ambition to make powerful PostgreSQL database technology faster, simpler, and more accessible for a broader range of developer needs, including AI.

What competitive differentiators does Tiger Data emphasize against rivals like InfluxData and ClickHouse?

Tiger Data differentiates itself against competitors like InfluxData and ClickHouse by emphasizing its PostgreSQL-native access and compatibility, offering a familiar SQL environment for time-series, real-time analytics, and AI/vector capabilities. While InfluxData offers a purpose-built time-series database and ClickHouse excels in raw analytical query performance, Tiger Data focuses on extending PostgreSQL's robustness and ecosystem integration for a broader suite of data needs.

How does Tiger Data's pricing model for Tiger Cloud align with customer value and scalability?

Tiger Data's pricing model for Tiger Cloud, starting at $30/month with hourly billing and pay-as-you-go options, aligns with customer value by offering tailored plans and features like I/O boost. This modular approach allows customers to customize services to specific business and engineering requirements, ensuring they only pay for necessary features and support, promoting efficiency and scalability without upfront costs.

What is the strategic significance of Tiger Data's focus on PostgreSQL for AI agents?

The strategic significance of Tiger Data's focus on PostgreSQL for AI agents is to position their platform as a foundational data layer for emerging AI applications. By enhancing PostgreSQL for agentic workloads and offering a new service designed for AI agents, Tiger Data aims to empower developers to build intelligent systems that leverage real-time insights and robust data management within a familiar and powerful database ecosystem.

What security and compliance assurances does Tiger Data provide for enterprise clients?

Tiger Data provides robust security and compliance assurances for enterprise clients, including SAML and Single Sign-On (SSO) support, and adherence to SOC 2 Type 2 yearly reports. Additionally, its platform meets stringent operational requirements with encryption, high availability, automated backups, and compliance with GDPR and HIPAA, ensuring enterprise-ready data management.

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