Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Database Management/Tiger Data
Tiger Data

Tiger Data

Founded by Ajay Kulkarni in 2017

Store and query massive time-series data using PostgreSQL at petabyte scale

Pricing model

Free Trial

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Tiger Data to run time-series workloads on PostgreSQL at massive scale — handling trillions of metrics per day. It supports automatic time-based partitioning, hybrid row-columnar storage with compression, and tiered storage across SSD and object storage. You can ingest data from Kafka and S3, query using 200+ time-series SQL functions, and run hybrid search with vectors and filters. It's built for sensor data, machine data, industrial systems, and AI workloads without managing your own database infrastructure.

What Tiger Data does

Partition tables automatically by time range without manual configurationCompress and convert row data to columnar format for analytics queriesTier data automatically between SSD and object storage based on ageWrite SQL queries using built-in time-series functions like downsampling and gap-fillingIngest streaming data from Kafka topics into time-series tablesRun vector similarity searches alongside SQL filters in a single querySet up high availability with automated backups and point-in-time recoveryConnect to the database using standard PostgreSQL drivers and toolsAutomatically partitions data by time and key for fast reads and writesStores rows for writes and converts to columnar format for analytics with compressionKeeps hot data on SSD and moves older data to cheap object storage automaticallyIngests data from Kafka and S3, and replicates to Apache IcebergIncludes 200+ SQL functions specifically for time-based analyticsSupports hybrid search combining keyword, vector, filter, and ranking queriesHandles 3 trillion metrics per day in real production deploymentsFully accessible via SQL, APIs, CLI, and a web UI

Pricing breakdown

Pricing model: Free trial

PlanList price
Performance$30 / mo
Scale$36 / mo

Tutorials & Demos

Frequently asked

Salon Suite Solutions (S3)Salon Suite Solutions (S3)AWSAWSMicrosoft AzureMicrosoft AzureGoogle CloudGoogle CloudApache SparkApache SparkFivetranFivetranDecodableDecodableGrafanaGrafanaDatadogDatadog

Want a tailored answer?

See whether Tiger Data fits your stack.

Techbible weighs Tiger Data against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Tiger Data

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Database Management

All tools →
Chat2DB

Chat2DB

Chat2DB is an AI-powered SQL client that transforms natural language into SQL queries. Supports MySQL, Redis, MongoDB, and enhances database management with Text2SQL and BI features.

Dragonfly

Dragonfly

Discover Dragonfly - the most performant in-memory data store, engineered for extreme throughput at scale.

HelixDB

HelixDB

Build 10x faster with the first fully native Graph-Vector Database combining the power of graph and vector types natively in Rust to build RAG and AI applications easily

HydraDB

HydraDB

Store and retrieve AI agent memory using a graph database on object storage

LanceDB

LanceDB

An open-source, serverless vector database for AI that allows you to store, manage, and query embeddings, metadata, and full-text search directly on disk or object storage.

Manticore Search – easy-to-use fast search database

Manticore Search – easy-to-use fast search database

Manticore Search is an easy-to-use open source fast database for search. Elasticsearch alternative, vector search, SQL interface, full-text search capabilities

Microsoft Access

Microsoft Access

Build and manage relational databases without writing complex code

Neon

Neon

Create serverless Postgres databases that automatically scale compute and storage

Tiger Data, TimescaleDB, time-series database, PostgreSQL, petabyte scale, sensor data, machine data, columnar storage, tiered storage, Kafka integration, S3 integration, time-series analytics, industrial data, vector search, Iceberg replication