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DBMS > BigchainDB vs. HBase vs. Ignite vs. TimesTen

System Properties Comparison BigchainDB vs. HBase vs. Ignite vs. TimesTen

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHBase  Xexclude from comparisonIgnite  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWide-column store based on Apache Hadoop and on concepts of BigTableApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeWide column storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#187  Overall
#29  Document stores
Score53.34
Rank#21  Overall
#2  Wide column stores
Score5.01
Rank#64  Overall
#12  Key-value stores
#35  Relational DBMS
Score2.12
Rank#109  Overall
#53  Relational DBMS
Websitewww.bigchaindb.comhbase.apache.orgignite.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latesthbase.apache.orgapacheignite.readme.io/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016200820151998
Current release2.2.0, June 2019Apache Ignite 2.611 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2Open Source infoApache 2.0commercial
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 languagePythonJavaC++, Java, .Net
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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.nonoyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes (compute grid and cache interceptors can be used instead)PL/SQL
Triggersyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication
Master-slave replication
yes (replicated cache)Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes 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.yesyesyes
User concepts infoAccess controlyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBHBaseIgniteTimesTen
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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BigchainDBHBaseIgniteTimesTen
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