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Titan

Titan Alternatives & Competitors

(11)4.0 out of 5

Looking for alternatives to Titan? Tons of people want Graph Databases. ArangoDB, Neo4j, OrientDB, and Cayley are the most popular alternatives and competitors to Titan.

Top Alternatives to Titan

  • ArangoDB
  • Neo4j
  • OrientDB
  • Cayley
  • Azure Cosmos DB

Top 20 Alternatives & Competitors to Titan

    #1
    #1
  1. ArangoDB

    (55)4.7 out of 5

    ArangoDB is a distributed, free, and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

    Categories in common with Titan:
  2. ArangoDB is a distributed, free, and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

    Categories in common with Titan:

    AI
    One of the best database which gives almost all the features that needed for developing a product. Gives a very good performace, great community, great documentation etc.

    Reviewers say compared to Titan, ArangoDB is:

    More usable
    Better at support
    Better at meeting requirements
    #2
    #2
  3. Neo4j

    (55)4.4 out of 5

    Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.

    Categories in common with Titan:
  4. Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.

    Categories in common with Titan:

    UC
    It's very efficient on large datasets to support the multiple relations between the nodes. In addition, it provides very good graphical representation and interactive UI to analyze or present a...Read more

    Reviewers say compared to Titan, Neo4j is:

    Better at support
    More usable
    More expensive
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    #3
    #3
  5. OrientDB

    (49)3.8 out of 5

    OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.

    Categories in common with Titan:
  6. OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.

    Categories in common with Titan:

    NJ
    The main feature that as a user and from the perspective of benchmarking that I found was that it is embeddable. I can simply use the the database by including a jar, and update whenever necessary....Read more

    Reviewers say compared to Titan, OrientDB is:

    More usable
    More expensive
    Better at support
    #4
    #4
  7. Cayley

    (11)3.9 out of 5

    Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

    Categories in common with Titan:
  8. Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

    Categories in common with Titan:

    BM
    The best direct benefit for us of working with Cayley was it's ease of integration in Go based programming environments. It allowed us to bootstrap development environments immediately, as our...Read more

    Reviewers say compared to Titan, Cayley is:

    More usable
    Better at support
    #5
    #5
  9. Azure Cosmos DB

    (44)4.1 out of 5

    Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.

    Categories in common with Titan:
  10. Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.

    Categories in common with Titan:

    UC
    I like the scalability. It worked very well in saving our relational data.

    Reviewers say compared to Titan, Azure Cosmos DB is:

    More expensive
    More usable
    Better at support
    #6
    #6
  11. Redis

    (86)4.5 out of 5

    Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists , and sets.

    Categories in common with Titan:
  12. Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists , and sets.

    Categories in common with Titan:

    Nagesh C.
    NC
    Redis is extremely stable and comes with a powerful community support, learning curve is easy .

    Reviewers say compared to Titan, Redis is:

    More usable
    Better at support
    Better at meeting requirements
    #7
    #7
  13. Cassandra

    (27)4.2 out of 5

    Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.

    Categories in common with Titan:
  14. Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.

    Categories in common with Titan:

    UF
    Writes are exceedingly fast; no SQL database comes close to its throughput. When dealing with large data, Cassandra allows for highly reliable data storage.

    Reviewers say compared to Titan, Cassandra is:

    More expensive
    More usable
    Better at support
    #8
    #8
  15. Amazon Neptune

    (13)4.0 out of 5

    Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.

    Categories in common with Titan:
  16. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.

    Categories in common with Titan:

    IB
    Amazon Neptune is a fast and a more reliable database that Makes it easy to build and run applications that work with highly connected Datasets

    Reviewers say compared to Titan, Amazon Neptune is:

    More expensive
    More usable
    Better at support
    #9
    #9
  17. GraphDB

    (4)3.9 out of 5

    GraphDB is a semantic graph database that serves organizations to store, organize and manage content in the form of semantically enriched smart data.

    Categories in common with Titan:
  18. GraphDB is a semantic graph database that serves organizations to store, organize and manage content in the form of semantically enriched smart data.

    Categories in common with Titan:

    Melissa A.
    MA
    With the right knowledge you will be equipped to take advantage of the performance of GraphDB, it is very quick. GDB has some very powerfull features for cleaning data, right where you need it....Read more
    #10
    #10
  19. Apache Giraph

    (2)4.3 out of 5

    Apache Giraph is an iterative graph processing system built for high scalability.

    Categories in common with Titan:
  20. Apache Giraph is an iterative graph processing system built for high scalability.

    Categories in common with Titan:

    AM
    I used to work at facebook and we used the Apache Giraph program. Its very easy to use. A first grader could use it.
    #11
    #11
  21. FlockDB

    (11)3.6 out of 5

    FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

    Categories in common with Titan:
  22. FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

    Categories in common with Titan:

    Dylan R.
    DR
    Simplifies information so you can see who is accessing your content

    Reviewers say compared to Titan, FlockDB is:

    Better at support
    More usable
    #12
    #12
  23. Redis Enterprise

    (30)4.3 out of 5

    Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.

    Categories in common with Titan:
  24. Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.

    Categories in common with Titan:

    Emiliano P.
    EP
    Redis Enterprise continuously helps us sleep at nights, we are able to maintain a clustered, replicated redis database with all the speed benefits and without the "memory is volatile" fears that...Read more

    Reviewers say compared to Titan, Redis Enterprise is:

    More expensive
    More usable
    Better at support
    #13
    #13
  25. Blazegraph

    Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. Blazegraph is available in a range of versions that provide solutions to the challenge of scaling graphs. Blazegraph solutions range from millions to trillions of edges in the graph.

    Categories in common with Titan:
  26. Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. Blazegraph is available in a range of versions that provide solutions to the challenge of scaling graphs. Blazegraph solutions range from millions to trillions of edges in the graph.

    Categories in common with Titan:

    Be the first to review Blazegraph!
    Write a Review
    #14
    #14
  27. AllegroGraph

    AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications.

    Categories in common with Titan:
  28. AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications.

    Categories in common with Titan:

    Be the first to review AllegroGraph!
    Write a Review
    #15
    #15
  29. HyperGraphDB

    (2)4.0 out of 5

    HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database.

    Categories in common with Titan:
  30. HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database.

    Categories in common with Titan:

    Gopinadh C.
    GC
    It is open source and is graph related database.
    #16
    #16
  31. IBM Graph

    (4)4.1 out of 5

    IBM Graph is designed to help you answer questions about large or complex networks of inter-related data. It enhances the power of data connections by letting you store, query and visualize data points, connections and properties in a property graph.

    Categories in common with Titan:
  32. IBM Graph is designed to help you answer questions about large or complex networks of inter-related data. It enhances the power of data connections by letting you store, query and visualize data points, connections and properties in a property graph.

    Categories in common with Titan:

    UA
    ease of use, streamlining and easy compilation of large data, creates nice flowcharts
    #17
    #17
  33. Oracle Spatial and Graph

    (2)4.5 out of 5

    Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and location-enabled Business Intelligence. The graph features include RDF graphs for applications ranging from semantic data integration to social network analysis to linked open data and network graphs used in transportation, utilities, energy and telcos and drive-time analysis for sales and marketing applications.

    Categories in common with Titan:
  34. Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and location-enabled Business Intelligence. The graph features include RDF graphs for applications ranging from semantic data integration to social network analysis to linked open data and network graphs used in transportation, utilities, energy and telcos and drive-time analysis for sales and marketing applications.

    Categories in common with Titan:

    UH
    Oracle Spacial & Graph has allowed me to filter and organize my sensor data on air quality to help my team and narrow down possible harmful everyday systems that you wouldn't normally think about....Read more
    #18
    #18
  35. Sparksee

    Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

    Categories in common with Titan:
  36. Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

    Categories in common with Titan:

    Be the first to review Sparksee!
    Write a Review
    #19
    #19
  37. GraphBase

    GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

    Categories in common with Titan:
  38. GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

    Categories in common with Titan:

    Be the first to review GraphBase!
    Write a Review
    #20
    #20
  39. DGraph

    (1)5.0 out of 5

    Dgraph shards the data to horizontally scale to hundreds of servers. It is designed to minimize the number of disk seeks and network calls. Dgraph is built like a search engine. Queries are broken into sub-queries, which run concurrently to achieve low-latency and high throughput. Dgraph can easily scale to multiple machines, or datacenters. Its sharded storage and query processing were specifically designed to minimize the number of network calls.

    Categories in common with Titan:
  40. Dgraph shards the data to horizontally scale to hundreds of servers. It is designed to minimize the number of disk seeks and network calls. Dgraph is built like a search engine. Queries are broken into sub-queries, which run concurrently to achieve low-latency and high throughput. Dgraph can easily scale to multiple machines, or datacenters. Its sharded storage and query processing were specifically designed to minimize the number of network calls.

    Categories in common with Titan:

    AI
    dgraph which is very useful nosql graphical db we using for our application to query