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DBMS > Apache Impala vs. Axibase vs. EventStoreDB vs. Postgres-XL

System Properties Comparison Apache Impala vs. Axibase vs. EventStoreDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAxibase  Xexclude from comparisonEventStoreDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationIndustrial-strength, open-source database solution built from the ground up for event sourcing.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSTime Series DBMSEvent StoreRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteimpala.apache.orgaxibase.com/­docs/­atsd/­financewww.eventstore.comwww.postgres-xl.org
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAxibase CorporationEvent Store Limited
Initial release2013201320122014 infosince 2012, originally named StormDB
Current release4.1.0, June 20221558521.2, February 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsLinuxLinuxLinux
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard

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More resources
Apache ImpalaAxibaseEventStoreDBPostgres-XL
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