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DBMS > Apache Impala vs. EsgynDB vs. Kdb vs. MonetDB vs. OrientDB

System Properties Comparison Apache Impala vs. EsgynDB vs. Kdb vs. MonetDB vs. OrientDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance Time Series DBMSA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websiteimpala.apache.orgwww.esgyn.cnkx.comwww.monetdb.orgorientdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlcode.kx.comwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynKx Systems, a division of First Derivatives plcMonetDB BVOrientDB LTD; CallidusCloud; SAP
Initial release201320152000 infokdb was released 2000, kdb+ in 200320042010
Current release4.1.0, June 20223.6, May 2018Dec2023 (11.49), December 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaqCJava
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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)yes infoSQL 2003 with some extensionsSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresuser defined functionsyes, in SQL, C, RJava, Javascript
Triggersnonoyes infowith viewsyesHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno infosimilar paradigm used for internal processingnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
Apache ImpalaEsgynDBKdbMonetDBOrientDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache ImpalaEsgynDBKdbMonetDBOrientDB
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