Automation Integration · head to head
Lytics vs TimescaleDB
Lytics
Automation Integration
The customer data platform for personalization
- From
- $400/month
- Rated
- -

TimescaleDB
Databases
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Only TimescaleDB has a free tier, so it costs nothing to try first.
- Each has a real cost: Lytics billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: Lytics covers Data collection, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Lytics and TimescaleDB actually diverge.
| Attribute | Lytics | TimescaleDB |
|---|---|---|
| Starting price | $400/month | Free |
| Pricing model | usage-based | Unknown |
| Free tier | No | Yes |
| Platforms | Web | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Category | Automation Integration | Databases |
| Founded | 2013 | 2012 |
Identical on both: user rating (Not yet rated).
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 Lytics
- Data collection
- Audience segmentation
- Predictive analytics
- Personalization
- Real-time activation
- Analytics
- API access
- 100+ integrations
Only in TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- PostgreSQL
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Lytics
- Building unified customer profiles from behavioural and marketing datanot TimescaleDB
- Segmenting audiences and syncing them to marketing destinationsnot TimescaleDB
TimescaleDB
- Monitoringnot Lytics
- IoT datanot Lytics
- Financial datanot Lytics
- Log analyticsnot Lytics
- Observabilitynot Lytics
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lytics
- Billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist
- Most inbound events consume a full credit each, and Cloud Connect sync events consume half a credit per updated row
- The free Developer tier is capped at 2M monthly credits and 10 domains
- The Growth plan is $500 a month for 5M credits, with additional credits at $500 per 10M
- Enterprise begins above 10M credits and is quoted rather than published
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
Lytics
$400/month- Professional$400/month
- Core CDP features
- Advanced$1200/month
- Advanced personalization
- Priority support
- Enterprise$3000/month
- Custom solutions
- Dedicated 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 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 Lytics or TimescaleDB better?
- Neither clearly leads. Lytics starts at $400/month and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lytics or TimescaleDB?
- TimescaleDB has a free tier; the other does not. Paid plans start at $400/month for Lytics and Free for TimescaleDB.
- Does Lytics or TimescaleDB run on more platforms?
- Lytics runs on Web. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- Can I use TimescaleDB for free?
- Yes. TimescaleDB has a free tier, so you can try it without paying. Lytics starts at $400/month.
- What is Lytics best used for?
- Lytics is most often used for building unified customer profiles from behavioural and marketing data, segmenting audiences and syncing them to marketing destinations. Of those, building unified customer profiles from behavioural and marketing data and segmenting audiences and syncing them to marketing destinations are not what TimescaleDB is typically brought in for.
- What can Lytics do that TimescaleDB cannot?
- Lytics covers Data collection, Audience segmentation, Predictive analytics, Personalization. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.
Answered from the vendors’ own pages
TimescaleDB: 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.
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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- TimescaleDB vs ClickHouse
- TimescaleDB vs MotherDuck
- TimescaleDB vs YugabyteDB
- TimescaleDB vs Apache Druid
- TimescaleDB vs SingleStore
- TimescaleDB vs DuckDB
- TimescaleDB vs Cockroach Labs
- TimescaleDB vs Amazon Aurora
- TimescaleDB vs Elasticsearch
- TimescaleDB vs Dgraph
- TimescaleDB vs Dragonfly
- TimescaleDB vs Dremio
- TimescaleDB vs Fivetran HVR
- TimescaleDB vs Grist
- TimescaleDB vs IBM Db2
- TimescaleDB vs Apache Pinot
- TimescaleDB vs Apache Flink
