Databases · head to head
ArangoDB vs TimescaleDB

ArangoDB
Databases
Multi-model database for graph, document, and search
- From
- Free
- Rated
- -

TimescaleDB
Databases
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ArangoDB the company has repositioned around a wider platform, so ArangoDB is now described as the foundation inside Arango rather than the product itself; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: ArangoDB covers Multi-model Support, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ArangoDB and TimescaleDB actually diverge.
| Attribute | ArangoDB | TimescaleDB |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | Linux, Windows, Mac, Docker, Web | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Founded | 2014 | 2012 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in ArangoDB
- Multi-model Support
- AQL Query Language
- Graph Traversals
- Full-text Search
- ACID Transactions
- SmartGraphs
- Satellite Collections
- Foxx Microservices
Only in TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- PostgreSQL
Both cover
- Kafka
- Linux support
- Windows support
- Mac support
- Docker support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
ArangoDB
- Graph, document and key-value data in one databasenot TimescaleDB
- Vector and full-text search alongside graph traversalnot TimescaleDB
- Avoiding separate stores for related and unstructured datanot TimescaleDB
- Backing AI applications needing both graph context and vectorsnot TimescaleDB
TimescaleDB
- Monitoringnot ArangoDB
- IoT datanot ArangoDB
- Financial datanot ArangoDB
- Log analyticsnot ArangoDB
- Observabilitynot ArangoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ArangoDB
- The company has repositioned around a wider platform, so ArangoDB is now described as the foundation inside Arango rather than the product itself
- Neither the community licence terms nor cloud pricing are stated on the main site
- arangodb.com redirects to arango.ai
TimescaleDB
- Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
- Bloom filter indexes on compressed columns can return incorrect query results before upgrade
- PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later
Pricing, plan by plan
ArangoDB
Free- CommunityFree
- All data models
- AQL queries
- Full-text search
- ArangoGraph$99/month
- Managed service
- Graph analytics
- Enterprise support
TimescaleDB
Free- Open SourceFree
- Self-hosted TimescaleDB
- MIT-licensed core
- Full PostgreSQL compatibility
- Scale Plan (Cloud)$36/month
- Compute and storage charges
- Multi-node HA
- Unlimited VPCs
Which should you pick?
Choose ArangoDB if
- You need multi-model support.
- You want to start without paying.
- You work on Linux, Windows, Mac, Docker, Web.
- You also want aql query language.
Choose TimescaleDB if
- You need time-series optimization.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- You also want postgresql extension.
Questions people ask
- Is ArangoDB or TimescaleDB better?
- Neither clearly leads. ArangoDB starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ArangoDB or TimescaleDB?
- ArangoDB starts at Free and TimescaleDB at Free.
- Does ArangoDB or TimescaleDB run on more platforms?
- ArangoDB runs on Linux, Windows, Mac, Docker, Web. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- Can I use ArangoDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ArangoDB best used for?
- ArangoDB is most often used for graph, document and key-value data in one database, vector and full-text search alongside graph traversal, avoiding separate stores for related and unstructured data, backing ai applications needing both graph context and vectors. Of those, graph, document and key-value data in one database and vector and full-text search alongside graph traversal are not what TimescaleDB is typically brought in for.
- What can ArangoDB do that TimescaleDB cannot?
- ArangoDB covers Multi-model Support, AQL Query Language, Graph Traversals, Full-text Search. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Kafka, Linux support, Windows support, Mac support.
Answered from the vendors’ own pages
ArangoDB: How is ArangoDB priced?
ArangoDB offers Community Edition (free) and Enterprise Edition. Pricing is customized based on deployment model (self-managed, managed cloud AWS/GCP, or OEM/embedded) and customer requirements. Contact Arango for a quote.
SourceTimescaleDB: Is TimescaleDB free?
Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.
SourceArangoDB: What deployment options does ArangoDB offer?
ArangoDB can be deployed self-managed on customer infrastructure, as managed cloud (Arango Managed Platform on AWS/GCP), or as OEM/embedded solutions.
SourceTimescaleDB: What database does TimescaleDB run on top of?
TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.
SourceTimescaleDB: How much can TimescaleDB compress data?
TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.
SourceTimescaleDB: Does TimescaleDB require manual partitioning?
No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.
SourceTimescaleDB: What PostgreSQL versions does TimescaleDB support?
As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.
SourceRelated pages
More on TimescaleDB
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