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DBMS > BigchainDB vs. Ingres vs. InterSystems Caché vs. RavenDB vs. TimesTen

System Properties Comparison BigchainDB vs. Ingres vs. InterSystems Caché vs. RavenDB vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRavenDB  Xexclude from comparisonTimesTen  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWell established RDBMSA multi-model DBMS and application serverOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.actian.com/­databases/­ingreswww.intersystems.com/­products/­cacheravendb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.actian.com/­ingresdocs.intersystems.comravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperActian CorporationInterSystemsHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20161974 infooriginally developed at University Berkely in early 1970s199720101998
Current release11.2, May 20222018.1.4, May 20205.4, July 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC#
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (RQL)yes
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesyesPL/SQL
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatorSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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 controlyesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
BigchainDBIngresInterSystems CachéRavenDBTimesTen
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