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DBMS > Cachelot.io vs. GBase vs. IBM Db2 Event Store vs. Ignite vs. KeyDB

System Properties Comparison Cachelot.io vs. GBase vs. IBM Db2 Event Store vs. Ignite vs. KeyDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIgnite  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionIn-memory caching systemWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use casesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Key-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitecachelot.iowww.gbase.cnwww.ibm.com/­products/­db2-event-storeignite.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeapacheignite.readme.io/­docsdocs.keydb.dev
DeveloperGeneral Data Technology Co., Ltd.IBMApache Software FoundationEQ Alpha Technology Ltd.
Initial release20152004201720152019
Current releaseGBase 8a, GBase 8s, GBase 8c2.0Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC and C++C++, Java, .NetC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.noyesnoyesno
Secondary indexesnoyesnoyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoStandard with numerous extensionsyes infothrough the embedded Spark runtimeANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsMemcached protocolADO.NET
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsyesyes (compute grid and cache interceptors can be used instead)Lua
Triggersnoyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesActive-active shard replicationyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentnoyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationssimple password-based access control and ACL

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More resources
Cachelot.ioGBaseIBM Db2 Event StoreIgniteKeyDB
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