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Tigergraph Alternatives & Competitors

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Top Alternatives to Tigergraph

  • Neo4j
  • Redis
  • ArangoDB
  • OrientDB
  • Azure Cosmos DB

Top 20 Alternatives & Competitors to Tigergraph

  1. Neo4j

    (55)4.4 out of 5
  2. 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 Tigergraph:
    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
  3. Redis

    (105)4.5 out of 5
  4. 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 Tigergraph:
    Mohammad E.
    A lot of variation in data types. Perfect for read-intensive applications. Supports many programming languages. The replication feature is very useful.
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  5. ArangoDB

    (55)4.7 out of 5
  6. 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 Tigergraph:
    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.
  7. OrientDB

    (49)3.8 out of 5
  8. OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.

    Categories in common with Tigergraph:
    Can be descrived in just three words. Flexibilty, performance and sql to graph convefsion is fairly good.
  9. Azure Cosmos DB

    (50)4.1 out of 5
  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 Tigergraph:
    Native no sql solution managed within azure portal
  11. Amazon Neptune

    (13)4.0 out of 5
  12. 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 Tigergraph:
    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
  13. Redis Enterprise

    (30)4.3 out of 5
  14. Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.

    Categories in common with Tigergraph:
    Emiliano P.
    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
  15. Cassandra

    (27)4.2 out of 5
  16. 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 Tigergraph:
    Writes are exceedingly fast; no SQL database comes close to its throughput. When dealing with large data, Cassandra allows for highly reliable data storage.
  17. Dgraph

    (13)4.9 out of 5
  18. 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 Tigergraph:
    My favorite part of DGraph is that they use GraphQL +/- as their query language because I'm able to easily get back exactly what data I need without having to write complex joins. Their Ratel...Read more
  19. DataStax

    (13)4.2 out of 5
    Optimized for quick response
  20. Big data platform built on Apache Cassandra.

    Categories in common with Tigergraph:
    Daniel L.
    Our data was decentralized. It has therefore become indispensable to implement a customer master data management solution to deploy a consolidated vision of our clients in one single point.
  21. Titan

    (11)4.0 out of 5
  22. Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.

    Categories in common with Tigergraph:
    Mario C.
    TitanDB uses Gremlin 3, the new version of a good query language with tons of documentation, slides and videos on youtube. You can store your data in Cassandra, which means using a very well known...Read more
  23. FlockDB

    (11)3.6 out of 5
  24. 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 Tigergraph:
    Dylan R.
    Simplifies information so you can see who is accessing your content
  25. Cayley

    (11)3.9 out of 5
  26. 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 Tigergraph:
    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
  27. GraphDB

    (4)3.9 out of 5
  28. 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 Tigergraph:
    It is easier to use than a relational database or something like SQL because it is easier to change models
  29. VelocityGraph

  30. VelocityGraph extends the object-oriented database VelocityDB into a graph database.

    Categories in common with Tigergraph:
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  31. IBM Graph

    (4)4.1 out of 5
  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 Tigergraph:
    Me gusta, debido a que este programa proporciona una base de datos firme, fuerte y potente, la cual habilita aplicaciones basadas en tecnología de base de dato abiertas. Además tiene excelente...Read more
  33. SQL-GR (Aster / Connection Analytics)

    (3)4.0 out of 5
  34. Teradata Aster SQL-GR is a native graph processing engine that makes it easy to perform powerful graph analysis with speed across big data sets

    Categories in common with Tigergraph:
    It is not complicated, easy to understand
  35. HyperGraphDB

    (2)4.0 out of 5
  36. 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 Tigergraph:
    Gopinadh C.
    It is open source and is graph related database.
  37. Oracle Spatial and Graph

    (2)4.5 out of 5
  38. 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 Tigergraph:
    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
  39. Apache Giraph

    (2)4.3 out of 5
  40. Apache Giraph is an iterative graph processing system built for high scalability.

    Categories in common with Tigergraph:
    I used to work at facebook and we used the Apache Giraph program. Its very easy to use. A first grader could use it.