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DBMS > BigchainDB vs. GeoSpock vs. Netezza vs. openGemini vs. TimesTen

System Properties Comparison BigchainDB vs. GeoSpock vs. Netezza vs. openGemini vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGemini  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSpatial and temporal data processing engine for extreme data scaleData warehouse and analytics appliance part of IBM PureSystemsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comgeospock.comwww.ibm.com/­products/­netezzawww.opengemini.org
github.com/­openGemini
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.opengemini.org/­guidedocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGeoSpockIBMHuawei and openGemini communityOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016200020221998
Current release2.0, September 20191.1, July 2023Release 22.1
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, JavascriptGo
Server operating systemsLinuxhostedLinux infoincluded in applianceLinux
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesInteger, Float, Boolean, Stringyes
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
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesSQL-like query languageyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCJDBC
ODBC
OLE DB
HTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyesnoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesAccess rights for users can be defined per tableUsers with fine-grained authorization conceptAdministrators and common users accountsfine grained access rights according to SQL-standard

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More resources
BigchainDBGeoSpockNetezza infoAlso called PureData System for Analytics by IBMopenGeminiTimesTen
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