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DBMS > Apache Impala vs. CouchDB vs. Datomic vs. IBM Db2 Event Store vs. Tibero

System Properties Comparison Apache Impala vs. CouchDB vs. Datomic vs. IBM Db2 Event Store vs. Tibero

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed Event Store optimized for Internet of Things use casesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSDocument storeRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score11.73
Rank#45  Overall
#7  Document stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.98
Rank#139  Overall
#66  Relational DBMS
Websiteimpala.apache.orgcouchdb.apache.orgwww.datomic.comwww.ibm.com/­products/­db2-event-storeus.tmaxsoft.com/­products/­tibero
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledocs.datomic.comwww.ibm.com/­docs/­en/­db2-event-storetechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectIBMTmaxSoft
Initial release20132005201220172003
Current release4.1.0, June 20223.3.3, December 20231.0.6735, June 20232.06, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infolimited edition freecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJava, ClojureC and C++C and Assembler
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes
Secondary indexesyesyes infovia viewsyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyes infoTransaction FunctionsyesPersistent Stored Procedure (PSM)
TriggersnoyesBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersActive-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicIBM Db2 Event StoreTibero
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