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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHarperDB  Xexclude from comparisonKdb  Xexclude from comparisonLMDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.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
Score0.55
Rank#243  Overall
#38  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.orgwww.harperdb.iokx.comwww.symas.com/­symas-embedded-database-lmdbmaxdb.sap.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.harperdb.io/­docscode.kx.comwww.lmdb.tech/­docmaxdb.sap.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHarperDBKx Systems, a division of First Derivatives plcSymasSAP, acquired from Software AG (Adabas-D) in 1997
Initial release201320172000 infokdb was released 2000, kdb+ in 200320111984
Current release4.1.0, June 20223.1, August 20213.6, May 20180.9.32, January 20247.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Node.jsqCC++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.nonoyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like data manipulation statementsSQL-like query language (q)noyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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-reduceCustom Functions infosince release 3.1user defined functionsnoyes
Triggersnonoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infothe nodes on which a table resides can be definedSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaHarperDBKdbLMDBMaxDB 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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Apache ImpalaHarperDBKdbLMDBMaxDB infoformerly named Adabas-D
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