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DBMS > Google Cloud Bigtable vs. ObjectBox vs. Oracle vs. Percona Server for MongoDB vs. Sphinx

System Properties Comparison Google Cloud Bigtable vs. ObjectBox vs. Oracle vs. Percona Server for MongoDB vs. Sphinx

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Extremely fast embedded database for small devices, IoT and MobileWidely used RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Wide column store
Object oriented DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
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
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitecloud.google.com/­bigtableobjectbox.iowww.oracle.com/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbsphinxsearch.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.oracle.com/­en/­databasedocs.percona.com/­percona-distribution-for-mongodbsphinxsearch.com/­docs
DeveloperGoogleObjectBox LimitedOraclePerconaSphinx Technologies Inc.
Initial release20152017198020152001
Current release23c, September 20233.4.10-2.10, November 20173.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoGPL Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C and C++C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
proprietary protocol using JSONProprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoPL/SQL infoalso stored procedures in Java possibleJavaScriptno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan be realized in PL/SQLyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infoisolation level can be parameterizednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
Google Cloud BigtableObjectBoxOraclePercona Server for MongoDBSphinx
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