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DBMS > ArcadeDB vs. Badger vs. Datastax Enterprise vs. Oracle Coherence vs. Yaacomo

System Properties Comparison ArcadeDB vs. Badger vs. Datastax Enterprise vs. Oracle Coherence vs. Yaacomo

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonOracle Coherence  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax 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.Oracles in-memory data grid solutionOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value storeWide column storeKey-value storeRelational 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
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitearcadedb.comgithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisewww.oracle.com/­java/­coherenceyaacomo.com
Technical documentationdocs.arcadedb.comgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperArcade DataDGraph LabsDataStaxOracleQ2WEB GmbH
Initial release20212017201120072009
Current releaseSeptember 20216.8, April 202014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaGoJavaJava
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VMAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
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.nonononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL-like DML and DDL statements (CQL); Spark SQLnoyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JCache
JPA
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersnoyesyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyes, with selectable consistency levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
ArcadeDBBadgerDatastax EnterpriseOracle CoherenceYaacomo
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» 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

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ArcadeDBBadgerDatastax EnterpriseOracle CoherenceYaacomo
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