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DBMS > Apache Impala vs. DataFS vs. Manticore Search vs. MaxDB

System Properties Comparison Apache Impala vs. DataFS vs. Manticore Search vs. MaxDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDataFS  Xexclude from comparisonManticore Search  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Multi-storage database for search, including full-text search.A robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelRelational DBMSObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeGraph DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.26
Rank#114  Overall
#55  Relational DBMS
Websiteimpala.apache.orgnewdatabase.commanticoresearch.commaxdb.sap.com
Technical documentationimpala.apache.org/­impala-docs.htmldev.mobiland.com/­Overview.xspmanual.manticoresearch.commaxdb.sap.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMobiland AGManticore SoftwareSAP, acquired from Software AG (Adabas-D) in 1997
Initial release2013201820171984
Current release4.1.0, June 20221.1.263, October 20226.0, February 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxWindowsFreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Fixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
VB.Net
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnono, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosWindows-Profilenofine grained access rights according to SQL-standard

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More resources
Apache ImpalaDataFSManticore SearchMaxDB infoformerly named Adabas-D
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