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DBMS > Apache Impala vs. EJDB vs. Kdb vs. LMDB vs. MaxDB

System Properties Comparison Apache Impala vs. EJDB vs. Kdb vs. LMDB vs. MaxDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEJDB  Xexclude from comparisonKdb  Xexclude from comparisonLMDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance Time Series DBMSA high performant, light-weight, embedded key-value database libraryA robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSDocument storeTime Series DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score2.15
Rank#115  Overall
#55  Relational DBMS
Websiteimpala.apache.orggithub.com/­Softmotions/­ejdbkx.comwww.symas.com/­symas-embedded-database-lmdbmaxdb.sap.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcode.kx.comwww.lmdb.tech/­docmaxdb.sap.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSoftmotionsKx Systems, a division of First Derivatives plcSymasSAP, acquired from Software AG (Adabas-D) in 1997
Initial release201320122000 infokdb was released 2000, kdb+ in 200320111984
Current release4.1.0, June 20223.6, May 20180.9.32, January 20247.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPLv2commercial infofree 32-bit versionOpen Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CqCC++
Server operating systemsLinuxserver-lessLinux
OS X
Solaris
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.noyesnono
Secondary indexesyesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)noyes
APIs and other access methodsJDBC
ODBC
in-process shared libraryHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnoyes
Triggersnonoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnorights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaEJDBKdbLMDBMaxDB infoformerly named Adabas-D
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 ImpalaEJDBKdbLMDBMaxDB infoformerly named Adabas-D
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