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DBMS > Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. TerarkDB vs. YugabyteDB

System Properties Comparison Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. TerarkDB vs. YugabyteDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTerarkDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSKey-value storeWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score35.58
Rank#24  Overall
#15  Relational DBMS
Score0.02
Rank#334  Overall
#54  Key-value stores
Score4.70
Rank#70  Overall
#5  Wide column stores
Score0.05
Rank#321  Overall
#50  Key-value stores
Score0.92
Rank#179  Overall
#90  Relational DBMS
Websitecloud.google.com/­bigquerywww.datajaguar.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­Terark/­terarkdbwww.yugabyte.com
Technical documentationcloud.google.com/­bigquery/­docswww.datajaguar.com/­support.phpgithub.com/­Terark/­terarkdb/­wikidocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGoogleDataJaguar, Inc.MicrosoftTerarkYugabyte Inc.
Initial release20102015201220162017
Current release2.9.4 September 20182.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++C and C++
Server operating systemshostedLinuxhostedLinux
OS X
Data schemeyesyesschema-freeschema-freedepending on used data model
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 indexesnoyesnonoyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP APIC++ API
Java API
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnononoyes infosql, plpgsql, C
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenoneHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanooptimistic lockingnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)rights management via user accountsAccess rights based on private key authentication or shared access signaturesnoyes
More information provided by the system vendor
Google BigQueryJaguarDBMicrosoft Azure Table StorageTerarkDBYugabyteDB
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» 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 BigQueryJaguarDBMicrosoft Azure Table StorageTerarkDBYugabyteDB
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