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DBMS > Datastax Enterprise vs. etcd vs. eXtremeDB vs. openGauss vs. Stardog

System Properties Comparison Datastax Enterprise vs. etcd vs. eXtremeDB vs. openGauss vs. Stardog

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonopenGauss  Xexclude from comparisonStardog  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.A distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelWide column storeKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.datastax.com/­products/­datastax-enterpriseetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgitee.com/­opengauss
opengauss.org
www.stardog.com
Technical documentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.stardog.com
DeveloperDataStaxMcObjectHuawei and openGauss communityStardog-Union
Initial release2011200120192010
Current release6.8, April 20203.4, August 20198.2, 20213.0, March 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and C++C, C++, JavaJava
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono infosupport of XML interfaces availablenono infoImport/export of XML data possible
Secondary indexesyesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infowith the option: eXtremeSQLANSI SQL 2011Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes, watching key changesyes infoby defining eventsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning / shardinghorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseetcdeXtremeDBopenGaussStardog
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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With hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsAnnual subscription
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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Datastax EnterpriseetcdeXtremeDBopenGaussStardog
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