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DBMS > BigchainDB vs. Datomic vs. HugeGraph vs. STSdb vs. Teradata

System Properties Comparison BigchainDB vs. Datomic vs. HugeGraph vs. STSdb vs. Teradata

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSGraph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.bigchaindb.comwww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comhugegraph.apache.org/­docsdocs.teradata.com
DeveloperCognitectBaiduSTS Soft SCTeradata
Initial release20162012201820111984
Current release1.0.6735, June 20230.94.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, ClojureJavaC#
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Unix
Windowshosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)yes
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonononoyes infoSQL 2016 + extensions
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
Groovy
Java
Python
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsasynchronous Gremlin script jobsnoyes infoUDFs, stored procedures, table functions in parallel
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlyesnoUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
BigchainDBDatomicHugeGraphSTSdbTeradata
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