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DBMS > IBM Db2 Event Store vs. SiriDB vs. SQream DB vs. Tarantool

System Properties Comparison IBM Db2 Event Store vs. SiriDB vs. SQream DB vs. Tarantool

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSiriDB  Xexclude from comparisonSQream DB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesOpen Source Time Series DBMSa GPU-based, columnar RDBMS for big data analytics workloadsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSRelational 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storesiridb.comsqream.comwww.tarantool.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.siridb.comdocs.sqream.comwww.tarantool.io/­en/­doc
DeveloperIBMCesbitSQream TechnologiesVK
Initial release2017201720172008
Current release2.02022.1.6, December 20222.10.0, May 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMIT LicensecommercialOpen 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

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Implementation languageC and C++CC++, CUDA, Haskell, Java, ScalaC and C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxLinuxBSD
Linux
macOS
Data schemeyesyesyesFlexible 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 datayes, ANSI Standard SQL Typesstring, 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 indexesnoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyesFull-featured ANSI SQL support
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API.Net
JDBC
ODBC
Open 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++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnouser defined functions in PythonLua, C and SQL stored procedures
Triggersnononoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningSharding, 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 replicationyesnoneAsynchronous 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, 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 immutableyesyesyes, 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 storageyesyesyes, 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
IBM Db2 Event StoreSiriDBSQream DBTarantool
DB-Engines blog posts

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

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