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DBMS > Google BigQuery vs. Lovefield vs. Percona Server for MongoDB vs. TerarkDB vs. TimesTen

System Properties Comparison Google BigQuery vs. Lovefield vs. Percona Server for MongoDB vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score0.25
Rank#281  Overall
#133  Relational DBMS
Score0.75
Rank#207  Overall
#34  Document stores
Score0.00
Rank#357  Overall
#56  Key-value stores
Score1.67
Rank#136  Overall
#68  Relational DBMS
Websitecloud.google.com/­bigquerygoogle.github.io/­lovefieldwww.percona.com/­software/­mongodb/­percona-server-for-mongodbgithub.com/­Terark/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­bigquery/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmlgithub.com/­Terark/­terarkdb/­wikidocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleGooglePerconaTerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20102014201520161998
Current release2.1.12, February 20173.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL Version 2commercial inforestricted open source version availablecommercial
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 languageJavaScriptC++C++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnonoyes
APIs and other access methodsRESTful HTTP/JSON APIproprietary protocol using JSONC++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScriptActionscript
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++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoJavaScriptnoPL/SQL
TriggersnoUsing read-only observersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Google BigQueryLovefieldPercona Server for MongoDBTerarkDBTimesTen
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