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DBMS > 4D vs. Apache Phoenix vs. Google Cloud Bigtable vs. jBASE vs. KairosDB

System Properties Comparison 4D vs. Apache Phoenix vs. Google Cloud Bigtable vs. jBASE vs. KairosDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonjBASE  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA scale-out RDBMS with evolutionary schema built on Apache HBaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A robust multi-value DBMS comprising development tools and middlewareDistributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Multivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.4d.comphoenix.apache.orgcloud.google.com/­bigtablewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­kairosdb/­kairosdb
Technical documentationdeveloper.4d.comphoenix.apache.orgcloud.google.com/­bigtable/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9kairosdb.github.io
Developer4D, IncApache Software FoundationGoogleRocket Software (formerly Zumasys)
Initial release19842014201519912013
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20195.71.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsOS X
Windows
Linux
Unix
Windows
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnooptionalyes
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.yesnonoyesno
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yesnoEmbedded SQL for jBASE in BASICno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Graphite protocol
HTTP REST
Telnet API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic 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.noyesnoyesno
User concepts infoAccess controlUsers and groupsAccess 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)Access rights can be defined down to the item levelsimple password-based access control

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More resources
4D infoformer name: 4th DimensionApache PhoenixGoogle Cloud BigtablejBASEKairosDB
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