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DBMS > Badger vs. IBM Db2 Event Store vs. SAP IQ vs. Tarantool

System Properties Comparison Badger vs. IBM Db2 Event Store vs. SAP IQ vs. Tarantool

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Event Store optimized for Internet of Things use casesColumnar RDBMS optimized for Big Data analyticsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value storeEvent Store
Time Series DBMS
Relational DBMS infocolumn-orientedDocument 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.tarantool.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storehelp.sap.com/­docs/­SAP_IQwww.tarantool.io/­en/­doc
DeveloperDGraph LabsIBMSAP, formerly SybaseVK
Initial release2017201719942008
Current release2.016.1 SPS04, April 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen 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 languageGoC and C++C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
Solaris
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyesyesstring, 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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesFull-featured ANSI SQL support
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Open binary protocol
Supported programming languagesGoC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyesLua, C and SQL stored procedures
Triggersnonoyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingshared disk or shared nothing architectures with SAP IQ MultiplexerSharding, 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 nodesnoneActive-active shard replicationSAP/Sybase Replication ServerAsynchronous 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 methodsnonoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual 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 integritynonoyesyes
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 datayesNo - written data is immutableyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesYes - 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.noyesnoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine 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

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More resources
BadgerIBM Db2 Event StoreSAP IQ infoformer name: Sybase IQTarantool
DB-Engines blog posts

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

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