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DBMS > AgensGraph vs. BigchainDB vs. eXtremeDB vs. InfinityDB

System Properties Comparison AgensGraph vs. BigchainDB vs. eXtremeDB vs. InfinityDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsNatively in-memory DBMS with options for persistency, high-availability and clusteringA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#361  Overall
#37  Graph DBMS
#154  Relational DBMS
Score0.86
Rank#210  Overall
#36  Document stores
Score0.66
Rank#239  Overall
#109  Relational DBMS
#20  Time Series DBMS
Score0.09
Rank#357  Overall
#53  Key-value stores
Websitebitnine.net/­agensgraphwww.bigchaindb.comwww.mcobject.comboilerbay.com
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestwww.mcobject.com/­docs/­extremedb.htmboilerbay.com/­infinitydb/­manual
DeveloperBitnine Global Inc.McObjectBoiler Bay Inc.
Initial release2016201620012002
Current release2.1, December 20188.2, 20214.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPythonC and C++Java
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM
Data schemedepending on used data modelschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesnoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 availableno
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLno
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Server-side scripts infoStored proceduresyesyesno
Triggersnoyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorActive Replication Fabric™ 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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnoyesno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
AgensGraphBigchainDBeXtremeDBInfinityDB
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
AgensGraphBigchainDBeXtremeDBInfinityDB
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