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DBMS > ArcadeDB vs. BigchainDB vs. HugeGraph vs. Ingres vs. Tkrzw

System Properties Comparison ArcadeDB vs. BigchainDB vs. HugeGraph vs. Ingres vs. Tkrzw

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA fast-speed and highly-scalable Graph DBMSWell established RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeGraph DBMSRelational DBMSKey-value store
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
Score0.79
Rank#212  Overall
#36  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitearcadedb.comwww.bigchaindb.comgithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingresdbmx.net/­tkrzw
Technical documentationdocs.arcadedb.combigchaindb.readthedocs.io/­en/­latesthugegraph.apache.org/­docsdocs.actian.com/­ingres
DeveloperArcade DataBaiduActian CorporationMikio Hirabayashi
Initial release2021201620181974 infooriginally developed at University Berkely in early 1970s2020
Current releaseSeptember 20210.911.2, May 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaCC++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query language, no joinsnonoyesno
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
Groovy
Java
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlyesUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
ArcadeDBBigchainDBHugeGraphIngresTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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