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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGigaSpaces  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Search engineWide column storeRelational DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
Time 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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented 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.orgwww.gigaspaces.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.gigaspaces.com/­latest/­landing.htmlmanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGigaspaces TechnologiesManticore SoftwareMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20132000201720121984
Current release4.1.0, June 202215.5, September 20206.0, February 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++
Server operating systemsLinuxLinux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
Windows
hostedHP Open VMS
Data schemeyesschema-freeFixed schemaschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.nono infoXML can be used for describing objects metadataCan index from XMLnono
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-99 for query and DML statementsSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Java
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functionsno
Triggersnoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Synchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlnoAccess rights based on private key authentication or shared access signatures

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More resources
Apache ImpalaGigaSpacesManticore SearchMicrosoft Azure Table StorageOracle Rdb
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