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DBMS > Apache Impala vs. H2GIS vs. Kdb vs. PieCloudDB vs. Realm

System Properties Comparison Apache Impala vs. H2GIS vs. Kdb vs. PieCloudDB vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonKdb  Xexclude from comparisonPieCloudDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2High performance Time Series DBMSA cloud-native analytic database platform with new technologoy for elastic MPPA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSSpatial DBMSTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Secondary database modelsDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orgwww.h2gis.orgkx.comwww.openpie.comrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homecode.kx.comrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSKx Systems, a division of First Derivatives plcOpenPieRealm, acquired by MongoDB in May 2019
Initial release201320132000 infokdb was released 2000, kdb+ in 20032014
Current release4.1.0, June 20223.6, May 20182.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0commercial infofree 32-bit versioncommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Javaq
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (q)yesno
APIs and other access methodsJDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
PL/SQL
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2user defined functionsuser defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesyes infowith viewsnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2rights management via user accountsUser Roles and pluggable authentication with full SQL Standardyes
More information provided by the system vendor
Apache ImpalaH2GISKdbPieCloudDBRealm
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Apache ImpalaH2GISKdbPieCloudDBRealm
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