Reviewers say compared to Cassandra, ArangoDB is:
Easier to do business with
Better at support
More usable
Cassandra Alternatives & Competitors
Looking for alternatives to Cassandra? Tons of people want Graph Databases software. What's difficult is finding out whether or not the software you choose is right for you.
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Market Segment
Top 20 Alternatives & Competitors to Cassandra
ArangoDB
(38)4.8 out of 5ArangoDB 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.Neo4j
(34)4.5 out of 5Neo4 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.Reviewers say compared to Cassandra, Neo4j is:
Easier to do business withBetter at supportEasier to set upOrientDB
(32)3.9 out of 5OrientDB is a Distributed Graph Database engine with the flexibility of a Document Database all in one NoSQL database.Reviewers say compared to Cassandra, OrientDB is:
Easier to do business withEasier to set upEasier to adminCayley
(12)4.0 out of 5Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.Reviewers say compared to Cassandra, Cayley is:
More usableBetter at supportFlockDB
(10)3.5 out of 5FlockDB 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.Reviewers say compared to Cassandra, FlockDB is:
Better at supportTitan
(10)3.9 out of 5Titan 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.Reviewers say compared to Cassandra, Titan is:
Better at meeting requirementsIBM Graph
(4)4.1 out of 5IBM 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.SQL-GR (Aster / Connection Analytics)
(3)4.0 out of 5Teradata Aster SQL-GR is a native graph processing engine that makes it easy to perform powerful graph analysis with speed across big data setsOracle Spatial and Graph
(2)4.5 out of 5Oracle 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.HyperGraphDB
(2)4.0 out of 5HyperGraphDB 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.Apache Giraph
(2)4.3 out of 5Apache Giraph is an iterative graph processing system built for high scalability.Bitsy
(1)5.0 out of 5Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.Gun
(1)2.5 out of 5GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.AgensGraph
(1)5.0 out of 5AgensGraph is a new generation multi-model graph database for the modern complex data environment, which supports the relational and graph data models at the same time. AgensGraph supports ANSI-SQL and openCypher. SQL and Cypher can be integrated into single queries in AgensGraph.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.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.Weaver
Weaver is a distributed graph store that provides horizontal scalability, high-performance, and strong consistency.VelocityGraph
VelocityGraph extends the object-oriented database VelocityDB into a graph database.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.Vertexdb
Vertex is a high performance graph database that supports automatic garbage collection, built on libevent and tokyocabinet.
#1
"Amazingly good!: So many software companies have a “good produce” but have huge gaps somewhere - poor support, steep learning curve, extraordinarily high pricing, ridiculous development base (“Jython”, I’m looking at you!), etc.
ArangoDB is the first product I have used (in 20 years!) that is complete. It is developer-friendly, user-friendly, has amazingly good support, is extremely performant, plays nice in cloud-native land, has built-in clustering, and (last, but NOT least) IT WORKS!
I am continually amazed at how often I am PLEASENTLY surprised by features, performance, or the company."
See all ArangoDB reviews
#2
"Best database for managing relationships: The Neo4j database is very easy to learn. There isn't even a need to understand relational databases. Neo4j is easy to teach people and easy to manage."
See all Neo4j reviews
#3
"OrientDB brings a fabulous future to our financial technical realization: 1. Elaborated documents for a beginner without any graph background knowledge to grasp basic graph theory and orientdb practice.
2. Build on Java platform, which is our company's main dev language as well, it's too easy to spend much time customizing various implementation as we demand."
See all OrientDB reviews
#4
"Great graph db for lighter usecases: The swappable backend stores are awesome...already have Postgres in your stack? Just use that. Doesn't need long term persistence? It can operate in-memory. LevelDB is there for max performance, and with Bolt support you can have a 100% in-application Go-only codebase.
It was really easy to get setup, and if your familiar with other graph products you probably already know at least the basics of Gremlin."
See all Cayley reviews
#5
"FlockDB is a great tool to manage interactions!: I enjoy using FlockDB because it helps me manage all the engagements on my small business's website. Although originally used by Twitter for managing following/followers content, this open-sourced database program is excellent in helping me sort and organize traffic data for my website."
See all FlockDB reviews
#6
"A truly great product for big data analytics with excellent documentation.: We've utilized the Titan diagram for quite a long time and it's been a delight and a remunerating knowledge. It is open-source and Apache 2 authorized. You can do it in Hbase on a Hadoop group (similarity with Hadoop v1 and v2), exceptionally helpful for huge datasets or in BerkeleyDB. TitanDB utilizes Gremlin 3, the new form of a decent inquiry dialect with huge amounts of documentation, slides and recordings on youtube. The documentation is one of the areas because of which using Titan becomes really easy."
See all Titan reviews
#7
"Una solución de gráficos.: 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 rendimiento, están conectadas y relacionadas y posee un desarrollo muy ágil sin complicaciones. Es un servicio de base de datos de gráficos completamente gestionado y fácil de utilizar para el almacenamiento y la consulta de puntos de datos, sus conexiones y propiedades. Diseñado para garantizar la continuidad plena del servicio y la accesibilidad de los datos, de forma que las aplicaciones web y móviles siempre estén trabajando de manera continua."
See all IBM Graph reviews
#8
"Great for quick data pulls: I enjoy that with this tool I am able to pull sales, revenue, margin, conversion etc. in a matter of seconds. "
#9
"My Go-To Program for Data Analysis: 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. It has also allowed us to get insight on group daliy routines and help make other working teams more efficient. Couldn't ask for a better program. "
See all Oracle Spatial and Graph reviews
#10
"HyperGraphDB Review: It is open source and is graph related database."
See all HyperGraphDB reviews
#11
"great analytic tool for graph model: If you are familiar with Hadoop ecosystem and MapReduce, It is a great choice for your graphical analysis. As Apache product does, it is also well combined with Hadoop storage like Hive, Hbase and pig and other applications."
See all Apache Giraph reviews
#12
" super easy management system: Bitsy makes it a lot easier to manage my bills. When I am travelling, I take a snapshot of every bill then and there and add it to Bitsy Once I am back, I am able to add all my Uber receipts directly from my emails toBitsy through a chrome extension. No hassle of keeping all this together. Everything is on the internet, accessible anywhere, as it should be. Passing it to my finance team is also a breeze - just the push of a button. I also get updates on the stage of processing so I know when I can expect to be reimbursed.All in all, a great way to manage expenses on the go. "
See all Bitsy reviews
#13
"Simply, quick and reliable: The offline functionality is very useful indeed"
See all Gun reviews
#14
"AgensGraph Review: More faster than any other Graph Database"
See all AgensGraph reviews
#15
Be the first to review Blazegraph!
#15
Be the first to review Sparksee!
#20
Be the first to review Weaver!
#17
Be the first to review VelocityGraph!
#18
Be the first to review GraphBase!
#19
Be the first to review Vertexdb!
