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DBMS > Apache Impala vs. Geode vs. Interbase vs. Kinetica vs. VelocityDB

System Properties Comparison Apache Impala vs. Geode vs. Interbase vs. Kinetica vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeode  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteimpala.apache.orggeode.apache.orgwww.embarcadero.com/­products/­interbasewww.kinetica.comvelocitydb.com
Technical documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docsdocs.embarcadero.com/­products/­interbasedocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.EmbarcaderoKineticaVelocityDB Inc
Initial release20132002198420122011
Current release4.1.0, June 20221.1, February 2017InterBase 2020, December 20197.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC, C++C#
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAndroid
iOS
Linux
OS X
Windows
LinuxAny that supports .NET
Data schemeyesschema-freeyesyesyes
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.nonono infoexport as XML data possiblenono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)yesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesAll languages supporting JDBC/ODBC.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes infoInterbase procedure and trigger languageuser defined functionsno
Triggersnoyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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 infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table levelBased on Windows Authentication

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More resources
Apache ImpalaGeodeInterbaseKineticaVelocityDB
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