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DBMS > Apache Phoenix vs. dBASE vs. EJDB vs. Google Cloud Bigtable vs. Ultipa

System Properties Comparison Apache Phoenix vs. dBASE vs. EJDB vs. Google Cloud Bigtable vs. Ultipa

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisondBASE  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasedBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitephoenix.apache.orgwww.dbase.comgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablewww.ultipa.com
Technical documentationphoenix.apache.orgwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docswww.ultipa.com/­document
DeveloperApache Software FoundationAsthon TateSoftmotionsGoogleUltipa
Initial release20141979201220152019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
Unix
Windows
DOS infodBase Classic
Windows infodBase Pro
server-lesshosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idno
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.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCnone infoThe IDE can access other DBMS or ODBC-sources.in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
dBase proprietary IDEActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsno infoThe IDE can access stored procedures in other database systems.nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenoneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache PhoenixdBASEEJDBGoogle Cloud BigtableUltipa
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