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DBMS > GridDB vs. Impala vs. Sphinx vs. XAP

System Properties Comparison GridDB vs. Impala vs. Sphinx vs. XAP

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonImpala  Xexclude from comparisonSphinx  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAnalytic DBMS for HadoopOpen source search engine for searching in data from different sources, e.g. relational databasesHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelTime Series DBMSRelational DBMSSearch engineDocument store
Key-value store infoValues are user defined objects
Secondary database modelsKey-value store
Relational DBMS
Document storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#204  Overall
#11  Time Series DBMS
Score16.03
Rank#36  Overall
#22  Relational DBMS
Score6.52
Rank#53  Overall
#5  Search engines
Score0.80
Rank#167  Overall
#26  Document stores
#30  Key-value stores
Websitegriddb.netwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlsphinxsearch.comwww.gigaspaces.com/­products/­xap
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlsphinxsearch.com/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperToshiba CorporationClouderaSphinx Technologies Inc.Gigaspaces Technologies
Initial release2013201320012000
Current release4.2, June 20193.3.0, August 20193.1.1, October 201814.5.0, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Java, C++, .Net
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
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.nonono infoXML can be used for describing objects metadata
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsSQL-like query language (SphinxQL)SQL-like query language and DML statements
APIs and other access methodsProprietary protocolJDBC
ODBC
Proprietary protocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersyesnonoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factornoneMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReducenoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access control
More information provided by the system vendor
GridDBImpalaSphinxXAP
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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GridDBImpalaSphinxXAP
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