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

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTerarkDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA 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 and feature compatible with PostgreSQL.
Primary database modelRelational DBMSWide 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
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.06
Rank#377  Overall
#57  Key-value stores
Score3.21
Rank#103  Overall
#53  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­bytedance/­terarkdbwww.yugabyte.com
Technical documentationcloud.google.com/­bigquery/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGoogleMicrosoftByteDance, originally TerarkYugabyte Inc.
Initial release2010201220162017
Current release2.19, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version availableOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++C and C++
Server operating systemshostedhostedLinux
OS X
Data schemeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLyesnonoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIC++ API
Java API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataoptimistic lockingnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights based on private key authentication or shared access signaturesnoyes
More information provided by the system vendor
Google BigQueryMicrosoft Azure Table StorageTerarkDBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
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Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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Google BigQueryMicrosoft Azure Table StorageTerarkDBYugabyteDB
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