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DBMS > Datastax Enterprise vs. Memgraph vs. SiriDB vs. TinkerGraph

System Properties Comparison Datastax Enterprise vs. Memgraph vs. SiriDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMemgraph  Xexclude from comparisonSiriDB  Xexclude from comparisonTinkerGraph  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 Time Series DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelWide column storeGraph DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.datastax.com/­products/­datastax-enterprisememgraph.comsiridb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.datastax.commemgraph.com/­docsdocs.siridb.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDataStaxMemgraph LtdCesbit
Initial release2011201720172009
Current release6.8, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++CJava
Server operating systemsLinux
OS X
LinuxLinux
Data schemeschema-freeschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnonono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Bolt protocol
Cypher query language
HTTP APITinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Groovy
Java
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infodynamic graph partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication using RAFTyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistencynone
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infowith snapshot isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesno
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissionssimple rights management via user accountsno
More information provided by the system vendor
Datastax EnterpriseMemgraphSiriDBTinkerGraph
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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More resources
Datastax EnterpriseMemgraphSiriDBTinkerGraph
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