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DBMS > Apache Phoenix vs. Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB

System Properties Comparison Apache Phoenix vs. Cloudflare Workers KV vs. Google Cloud Bigtable vs. IBM Db2 warehouse vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 applications
Primary database modelRelational DBMSKey-value storeKey-value store
Wide column store
Relational DBMSKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
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
Websitephoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigtablewww.ibm.com/­products/­db2/­warehousewww.jaguardb.com
Technical documentationphoenix.apache.orgdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigtable/­docswww.jaguardb.com/­support.html
DeveloperApache Software FoundationCloudflareGoogleIBMDataJaguar, Inc.
Initial release20142018201520142015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
hostedhostedhostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesnonoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBCHTTP REST
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
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
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQL, SQL PLno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesInternal replication in Colossus, and regional replication between two clusters in different zonesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess 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 accounts

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More resources
Apache PhoenixCloudflare Workers KVGoogle Cloud BigtableIBM Db2 warehouse infoformerly named IBM dashDBJaguarDB
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