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DBMS > Apache Impala vs. Manticore Search vs. Microsoft Azure Table Storage vs. Oracle Rdb vs. Yanza

System Properties Comparison Apache Impala vs. Manticore Search vs. Microsoft Azure Table Storage vs. Oracle Rdb vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeTime 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
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websiteimpala.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­rdb.htmlyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmlmanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaManticore SoftwareMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Yanza
Initial release20132017201219842015
Current release4.1.0, June 20226.0, February 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2commercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedHP Open VMSWindows
Data schemeyesFixed schemaschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesno
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.noCan index from XMLnonono
Secondary indexesyesyes infofull-text index on all search fieldsnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyesno
APIs and other access methodsJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
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 KerberosnoAccess rights based on private key authentication or shared access signaturesno

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More resources
Apache ImpalaManticore SearchMicrosoft Azure Table StorageOracle RdbYanza
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