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DBMS > Dolt vs. Google BigQuery vs. RethinkDB vs. SwayDB vs. TigerGraph

System Properties Comparison Dolt vs. Google BigQuery vs. RethinkDB vs. SwayDB vs. TigerGraph

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonRethinkDB  Xexclude from comparisonSwayDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaLarge scale data warehouse service with append-only tablesDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeGraph DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­bigqueryrethinkdb.comswaydb.simer.auwww.tigergraph.com
Technical documentationdocs.dolthub.comcloud.google.com/­bigquery/­docsrethinkdb.com/­docsdocs.tigergraph.com
DeveloperDoltHub IncGoogleThe Linux Foundation infosince July 2017Simer Plaha
Initial release20182010200920182017
Current release2.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ScalaC++
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometrynoyes
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 indexesyesnoyesno
SQL infoSupport of SQLyesyesnonoSQL-like query language (GSQL)
APIs and other access methodsCLI Client
HTTP REST
RESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
C++
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseuser defined functions infoin JavaScriptnoyes
TriggersyesnoClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataAtomic single-document operationsAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousers and table-level permissionsnoRole-based access control

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More resources
DoltGoogle BigQueryRethinkDBSwayDBTigerGraph
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