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DBMS > Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB vs. Splice Machine

System Properties Comparison Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB vs. Splice Machine

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud-based data warehousing servicePerformant, highly scalable DBMS for AI and IoT applicationsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeKey-value store
Wide column store
Relational DBMSKey-value store
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigtablewww.ibm.com/­products/­db2/­warehousewww.jaguardb.comsplicemachine.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docswww.jaguardb.com/­support.htmlsplicemachine.com/­how-it-works
DeveloperCloudflareGoogleIBMDataJaguar, Inc.Splice Machine
Initial release20182015201420152014
Current release3.3 July 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
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 languagesJava
Server operating systemshostedhostedhostedLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nonono infoImport/export of XML data possibleno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLnoyes infoJava
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
Cloudflare Workers KVGoogle Cloud BigtableIBM Db2 warehouse infoformerly named IBM dashDBJaguarDBSplice Machine
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