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DBMS > Google BigQuery vs. IBM Cloudant vs. Immudb vs. Kinetica vs. OpenTSDB

System Properties Comparison Google BigQuery vs. IBM Cloudant vs. Immudb vs. Kinetica vs. OpenTSDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDBAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUsScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­cloudantgithub.com/­codenotary/­immudb
immudb.io
www.kinetica.comopentsdb.net
Technical documentationcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudantdocs.immudb.iodocs.kinetica.comopentsdb.net/­docs/­build/­html/­index.html
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014CodenotaryKineticacurrently maintained by Yahoo and other contributors
Initial release20102010202020122011
Current release1.2.3, April 20227.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangGoC, C++Java
Server operating systemshostedhostedBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesnumeric data for metrics, strings for tags
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 indexesnoyesyesyesno
SQL infoSupport of SQLyesnoSQL-like syntaxSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScriptnouser defined functionsno
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano infoatomic operations within a document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.nononoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users and roles on table levelno

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More resources
Google BigQueryIBM CloudantImmudbKineticaOpenTSDB
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