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DBMS > Ingres vs. Tarantool vs. Transbase vs. XTDB

System Properties Comparison Ingres vs. Tarantool vs. Transbase vs. XTDB

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonTarantool  Xexclude from comparisonTransbase  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionWell established RDBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA resource-optimized, high-performance, universally applicable RDBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.actian.com/­databases/­ingreswww.tarantool.iowww.transaction.de/­en/­products/­transbase.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.actian.com/­ingreswww.tarantool.io/­en/­docwww.transaction.de/­en/­products/­transbase/­features.htmlwww.xtdb.com/­docs
DeveloperActian CorporationVKTransaction Software GmbHJuxt Ltd.
Initial release1974 infooriginally developed at University Berkely in early 1970s200819872019
Current release11.2, May 20222.10.0, May 2022Transbase 8.3, 20221.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial infofree development licenseOpen Source infoMIT License
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 languageCC and C++C and C++Clojure
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesschema-free
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes, extensible-data-notation format
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesFull-featured ANSI SQL supportyeslimited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Open binary protocolADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresyesLua, C and SQL stored proceduresyesno
Triggersyesyes, before/after data modification events, on replication events, client session eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Source-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyes, cooperative multitaskingyesyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standard

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More resources
IngresTarantoolTransbaseXTDB infoformerly named Crux
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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