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DBMS > Apache Impala vs. Axibase vs. BigObject vs. Fujitsu Enterprise Postgres

System Properties Comparison Apache Impala vs. Axibase vs. BigObject vs. Fujitsu Enterprise Postgres

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAxibase  Xexclude from comparisonBigObject  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAnalytic DBMS for real-time computations and queriesEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Websiteimpala.apache.orgaxibase.com/­docs/­atsd/­financebigobject.iowww.postgresql.fastware.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bigobject.iowww.postgresql.fastware.com/­product-manuals
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAxibase CorporationBigObject, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201320132015
Current release4.1.0, June 202215585Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree community edition availablecommercial
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 infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
fluentd
ODBC
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
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesLuauser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonepartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaAxibaseBigObjectFujitsu Enterprise Postgres
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache ImpalaAxibaseBigObjectFujitsu Enterprise Postgres
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