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DBMS > AgensGraph vs. Atos Standard Common Repository vs. BigchainDB vs. eXtremeDB vs. WakandaDB

System Properties Comparison AgensGraph vs. Atos Standard Common Repository vs. BigchainDB vs. eXtremeDB vs. WakandaDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsNatively in-memory DBMS with options for persistency, high-availability and clusteringWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Document storeRelational DBMS
Time Series DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitebitnine.net/­agensgraphatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.mcobject.comwakanda.github.io
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestwww.mcobject.com/­docs/­extremedb.htmwakanda.github.io/­doc
DeveloperBitnine Global Inc.Atos Convergence CreatorsMcObjectWakanda SAS
Initial release20162016201620012012
Current release2.1, December 201817038.2, 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPL v3commercialOpen Source infoAGPLv3, extended commercial license available
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.
Implementation languageCJavaPythonC and C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
LinuxLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemedepending on used data modelSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnono infosupport of XML interfaces availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnonoyes infowith the option: eXtremeSQLno
APIs and other access methodsCypher Query Language
JDBC
LDAPCLI Client
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
All languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScript
Server-side scripts infoStored proceduresyesnoyesyes
Triggersnoyesyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infocell divisionShardinghorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationyesyes
More information provided by the system vendor
AgensGraphAtos Standard Common RepositoryBigchainDBeXtremeDBWakandaDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
AgensGraphAtos Standard Common RepositoryBigchainDBeXtremeDBWakandaDB
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