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DBMS > GBase vs. IBM Db2 Event Store vs. SiriDB vs. Tarantool

System Properties Comparison GBase vs. IBM Db2 Event Store vs. SiriDB vs. Tarantool

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSiriDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.Distributed Event Store optimized for Internet of Things use casesOpen Source Time Series DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#193  Overall
#90  Relational DBMS
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.10
Rank#352  Overall
#35  Time Series DBMS
Score1.88
Rank#146  Overall
#24  Document stores
#25  Key-value stores
#68  Relational DBMS
Websitewww.gbase.cnwww.ibm.com/­products/­db2-event-storesiridb.comwww.tarantool.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.siridb.comwww.tarantool.io/­en/­doc
DeveloperIBMCesbitVK
Initial release201720172008
Current releaseGBase 8a2.02.10.0, May 2022
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoMIT LicenseOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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 languageC and C++CC and C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxBSD
Linux
macOS
Data schemeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyes infoNumeric datastring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoFull-featured ANSI SQL support
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIOpen binary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnoLua, C and SQL stored procedures
Triggersnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes, cooperative multitasking
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
GBaseIBM Db2 Event StoreSiriDBTarantool
DB-Engines blog posts

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

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