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DBMS > Google BigQuery vs. GridDB vs. Sphinx vs. XAP

System Properties Comparison Google BigQuery vs. GridDB vs. Sphinx vs. XAP

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGridDB  Xexclude from comparisonSphinx  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesScalable in-memory time series database optimized for IoT and Big DataOpen 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 modelRelational DBMSTime Series DBMSSearch engineDocument store
Key-value store infoValues are user defined objects
Secondary database modelsKey-value store
Relational DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.76
Rank#26  Overall
#15  Relational DBMS
Score0.53
Rank#204  Overall
#11  Time Series DBMS
Score6.52
Rank#53  Overall
#5  Search engines
Score0.80
Rank#167  Overall
#26  Document stores
#30  Key-value stores
Websitecloud.google.com/­bigquerygriddb.netsphinxsearch.comwww.gigaspaces.com/­products/­xap
Technical documentationcloud.google.com/­bigquery/­docsgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpsphinxsearch.com/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperGoogleToshiba CorporationSphinx Technologies Inc.Gigaspaces Technologies
Initial release2010201320012000
Current release4.2, June 20193.1.1, October 201814.5.0, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, C++, .Net
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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 indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)SQL-like query language (SphinxQL)SQL-like query language and DML statements
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolProprietary protocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoyes
Triggersnoyesnoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID at container levelnoACID
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.noyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databasenoRole-based access control
More information provided by the system vendor
Google BigQueryGridDBSphinxXAP
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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More resources
Google BigQueryGridDBSphinxXAP
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