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DBMS > Google BigQuery vs. IBM Db2 Event Store vs. JaguarDB vs. Microsoft Azure Table Storage vs. YugabyteDB

System Properties Comparison Google BigQuery vs. IBM Db2 Event Store vs. JaguarDB vs. Microsoft Azure Table Storage vs. YugabyteDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDistributed Event Store optimized for Internet of Things use casesPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeWide column 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
Score0.36
Rank#256  Overall
#2  Event Stores
#18  Time Series DBMS
Score0.02
Rank#334  Overall
#54  Key-value stores
Score4.70
Rank#70  Overall
#5  Wide column stores
Score0.92
Rank#179  Overall
#90  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2-event-storewww.datajaguar.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.yugabyte.com
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlwww.datajaguar.com/­support.phpdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGoogleIBMDataJaguar, Inc.MicrosoftYugabyte Inc.
Initial release20102017201520122017
Current release2.02.9.4 September 20182.4, January 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoGPL V3.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++ infothe server part. Clients available in other languagesC and C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinuxhostedLinux
OS X
Data schemeyesyesyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP APIYCQL, 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#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnonoyes infosql, plpgsql, C
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud serviceHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Based 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 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 datanonooptimistic lockingDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsAccess rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
Google BigQueryIBM Db2 Event StoreJaguarDBMicrosoft Azure Table StorageYugabyteDB
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 BigQueryIBM Db2 Event StoreJaguarDBMicrosoft Azure Table StorageYugabyteDB
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