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Datahike VS TerminusDB

Compare Datahike VS TerminusDB and see what are their differences

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Datahike logo Datahike

A durable datalog database adaptable for distribution.

TerminusDB logo TerminusDB

TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.
  • Datahike Landing page
    Landing page //
    2023-08-22
  • TerminusDB Landing page
    Landing page //
    2023-07-28

Datahike features and specs

  • Persistence
    Datahike is a persistent database, which means that it retains data across sessions and can be relied upon for storage that survives application restarts.
  • Datalog queries
    Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.
  • Schema flexibility
    Datahike provides schema flexibility that allows developers to define and evolve their data models without needing to perform migrations. This can significantly speed up development.
  • Immutable data structures
    By utilizing immutable data structures, Datahike allows safe concurrent reads and writes, reducing the risk of data corruption and improving application stability.
  • Transactional support
    Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.
  • Integration with Datomic API
    Datahike is designed to be compatible with the Datomic API, making it easier for developers familiar with Datomic to transition and leverage their knowledge.
  • Off-the-shelf scalability
    The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.

Possible disadvantages of Datahike

  • Relatively new ecosystem
    Being a lesser-known and newer alternative compared to databases like Datomic, Datahike may have a smaller community and fewer resources like documentation and third-party integrations.
  • Performance limitations
    While Datahike is designed to be lightweight and flexible, it may not match the performance of more mature databases, especially in very high-load or high-volume scenarios.
  • Limited features
    Datahike may lack some advanced features present in other databases, such as sophisticated indexing or native support for certain types of analytics, which could be necessary for specific applications.
  • Java Virtual Machine (JVM) requirement
    As it runs on the JVM, Datahike requires a Java runtime environment, which might not be ideal or convenient for projects seeking to minimize dependencies or employ lightweight deployment strategies.

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.

Datahike videos

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TerminusDB videos

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Welcome to TerminusDB & TerminusHub

More videos:

  • Review - MongoDB vs TerminusDB - TerminusDB Discussion #13

Category Popularity

0-100% (relative to Datahike and TerminusDB)

Datahike

TerminusDB

Databases
69 69%
Databases
31% 31
Relational Databases
100 100%
Relational Databases
0% 0
Graph Databases
0 0%
Graph Databases
100% 100
Network & Admin
100 100%
Network & Admin
0% 0

User comments

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Social recommendations and mentions

Based on our record, TerminusDB should be more popular than Datahike. 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.

Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / over 1 year ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: almost 2 years ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 3 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 3 years ago

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
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What are some alternatives?

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

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

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

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

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.

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

Datomic - The fully transactional, cloud-ready, distributed database

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