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TerminusDB VS TimescaleDB

Compare TerminusDB VS TimescaleDB and see what are their differences

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  3. » Reviews
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TerminusDB logo TerminusDB

TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.

TimescaleDB logo TimescaleDB

TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
  • TerminusDB Landing page
    Landing page //
    2023-07-28
  • TimescaleDB Landing page
    Landing page //
    2023-09-23

TerminusDB features and specs

  • Version Control
    TerminusDB has built-in version control for data, enabling users to manage changes over time, rollback to previous versions, and track data lineage.
  • Collaboration Features
    It supports collaborative workflows with branching, merging, and diffing, making it easier for teams to work together on data projects.
  • Schema Enforcement
    Provides strong schema enforcement to ensure data consistency and integrity, promoting better data management practices.
  • Graph Database Foundation
    Built on a powerful graph database architecture, which offers high flexibility and efficiency for managing complex and interconnected data.
  • Open Source
    TerminusDB is open source, providing transparency and the ability for users to contribute to its development or customize it for their needs.

Possible disadvantages of TerminusDB

  • Learning Curve
    The tool can have a steep learning curve for those unfamiliar with versioned data systems or graph databases, requiring time to master.
  • Limited Community Support
    While growing, the community around TerminusDB is not as large as more established database solutions, potentially limiting peer support and resources.
  • Early-Stage Features
    Some features may still be in early development stages, which might lead to fewer functionalities compared to mature database systems.
  • Performance Overheads
    Version control and schema enforcement can introduce performance overheads, particularly for large datasets or highly dynamic use cases.

TimescaleDB features and specs

  • Scalability
    TimescaleDB offers excellent horizontal and vertical scalability, which allows it to handle large volumes of data efficiently. Its architecture is designed to accommodate growth by distributing and efficiently managing data shards.
  • Time-Series Data Optimization
    Specifically optimized for time-series data, TimescaleDB provides features like hypertables and continuous aggregates that speed up queries and optimize storage for time-based data.
  • SQL Compatibility
    As an extension of PostgreSQL, TimescaleDB offers full SQL support, making it familiar to developers and allowing easy integration with existing SQL-based systems and applications.
  • Retention Policies
    TimescaleDB includes built-in data retention policies, enabling automatic management of historical data and freeing up storage by performing automatic data roll-ups or deletes.
  • Integration with the PostgreSQL Ecosystem
    It benefits from PostgreSQL's rich ecosystem of extensions, tools, and optimizations, allowing for versatile use cases beyond just time-series data while maintaining robust reliability and performance.

Possible disadvantages of TimescaleDB

  • Learning Curve
    Although it’s SQL-based, developers might face a learning curve to fully leverage TimescaleDB's time-series specific features such as hypertables and specific optimization techniques.
  • Limited Write Scalability
    While it's scalable, TimescaleDB might face challenges with extremely high-throughput write workloads compared to some NoSQL time-series databases, which are specifically built for such tasks.
  • Dependency on PostgreSQL
    As it operates as a PostgreSQL extension, any limitations and issues in PostgreSQL might directly affect TimescaleDB's performance and capabilities.
  • Complexity in Setup for High Availability
    Setting up TimescaleDB with high availability and distributed systems might introduce complexities, particularly for organizations that are not well-versed in PostgreSQL clustering and replication strategies.
  • Storage Overhead
    The additional storage features add an overhead, which means that while it adds value with its optimizations, users need to manage storage resources effectively, especially in environments with very large datasets.

TerminusDB videos

+ Add

Welcome to TerminusDB & TerminusHub

More videos:

  • Review - MongoDB vs TerminusDB - TerminusDB Discussion #13

TimescaleDB videos

+ Add

Rearchitecting a SQL Database for Time-Series Data | TimescaleDB

More videos:

  • Review - Visualizing Time-Series Data with TimescaleDB and Grafana

Category Popularity

0-100% (relative to TerminusDB and TimescaleDB)

TerminusDB

TimescaleDB

Databases
27 27%
Databases
73% 73
Graph Databases
100 100%
Graph Databases
0% 0
Time Series Database
0 0%
Time Series Database
100% 100
NoSQL Databases
27 27%
NoSQL Databases
73% 73

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TerminusDB and TimescaleDB

TerminusDB Reviews

We have no reviews of TerminusDB yet.
Be the first one to post

TimescaleDB Reviews

ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
4 Best Time Series Databases To Watch in 2019
The Guardian did a very nice article explaining on they went from MongoDB to PostgresSQL in the favor of scaling their architecture and encrypting their content at REST. As you can tell, big companies are relying on SQL-constraint systems (with a cloud architecture of course) to ensure system reliability and accessibility. I believe that PostgresSQL will continue to grow, so...
Source: medium.com
20+ MongoDB Alternatives You Should Know About
TimescaleDB If on the other hand you are storing time series data in MongoDB, then TimescaleDB might be a good fit.
Source: www.percona.com

Social recommendations and mentions

Based on our record, TerminusDB should be more popular than TimescaleDB. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TerminusDB mentions (16)

  • Show HN: Graphiti – LLM-Powered Temporal Knowledge Graphs
    Have you seen TerminusDB? [0] They’ve got a nice solution to versioned RDF graphs, originally pitched as “Git for data” but focused on knowledge graphs. I’m not affiliated (in fact they launched around the same time that my co-founder and I launched Splitgraph with the same “Git for data” pitch), but I find their technology very intriguing. Knowledge graphs are on the cusp of revival after being in stasis for 20... - Source: Hacker News / 8 months ago
  • Help with some python DB client installation errors please
    Hey, I'm trying to install TerminusDB. They have the python client installation instructions here. Source: over 2 years ago
  • Is there a terminusdb package?
    Hi, I wanted to check if there's a NixOS package for TerminusDB. Source: over 2 years ago
  • free-for.dev
    TerminusX — Managed free service for TerminusDB, a document and graph database written in Prolog and Rust. Free for dev, paid service for enterprise deployments and support. - Source: dev.to / over 2 years ago
  • My ultimate/dream language -- tldr; LP/FP typed prolog
    As someone interested in prolog (and co-founder of terminusdb.com) I can sympathise a lot with your laundry list there :D Lack of type and mode annotations is a hassle on small programmes, and a serious problem on large ones just from the point of view of avoiding bugs, without even getting into performance. Source: over 2 years ago
View more

TimescaleDB mentions (5)

  • Ask HN: Does anyone use InfluxDB? Or should we switch?
    (:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / over 1 year ago
  • Best small scale dB for time series data?
    If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: over 2 years ago
  • Quick n Dirty IoT sensor & event storage (Django backend)
    I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 3 years ago
  • How fast and scalable is TimescaleDB compare to a NoSQL Database?
    I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: over 3 years ago
  • The State of PostgreSQL 2021 Survey is now open!
    Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: about 4 years ago

What are some alternatives?

When comparing TerminusDB and TimescaleDB, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

PlanetScale - The last database you'll ever need. Go from idea to IPO.

Prometheus - An open-source systems monitoring and alerting toolkit.

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

VictoriaMetrics - Fast, easy-to-use, and cost-effective time series database

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