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DBMS > GeoSpock vs. Google Cloud Bigtable vs. searchxml vs. SQL.JS

System Properties Comparison GeoSpock vs. Google Cloud Bigtable vs. searchxml vs. SQL.JS

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonsearchxml  Xexclude from comparisonSQL.JS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.DBMS for structured and unstructured content wrapped with an application serverPort of SQLite to JavaScript
Primary database modelRelational DBMSKey-value store
Wide column store
Native XML DBMS
Search engine
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitegeospock.comcloud.google.com/­bigtablewww.searchxml.net/­category/­productssql.js.org
Technical documentationcloud.google.com/­bigtable/­docswww.searchxml.net/­support/­handoutssql.js.org/­documentation/­index.html
DeveloperGeoSpockGoogleinformationpartners gmbhAlon Zakai infoenhancements implemented by others
Initial release201520152012
Current release2.0, September 20191.0
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++JavaScript
Server operating systemshostedhostedWindowsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesno
Secondary indexestemporal, categoricalnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
WebDAV
XQuery
XSLT
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsJavaScript
Server-side scripts infoStored proceduresnonoyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application servicesno

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More resources
GeoSpockGoogle Cloud BigtablesearchxmlSQL.JS
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