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DBMS > Datastax Enterprise vs. Memgraph vs. RavenDB

System Properties Comparison Datastax Enterprise vs. Memgraph vs. RavenDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMemgraph  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.An open source graph database built for real-time streaming and compatible with Neo4jOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeGraph DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisememgraph.comravendb.net
Technical documentationdocs.datastax.commemgraph.com/­docsravendb.net/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDataStaxMemgraph LtdHibernating Rhinos
Initial release201120172010
Current release6.8, April 20205.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC and C++C#
Server operating systemsLinux
OS X
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language (RQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Bolt protocol
Cypher query language
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication using RAFTMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infowith snapshot isolationACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissionsAuthorization levels configured per client per database
More information provided by the system vendor
Datastax EnterpriseMemgraphRavenDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
You can check out our pricing model and licenses on the company website .
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseMemgraphRavenDB
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