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DBMS > Apache Phoenix vs. dBASE vs. FeatureBase vs. Google Cloud Bigtable

System Properties Comparison Apache Phoenix vs. dBASE vs. FeatureBase vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisondBASE  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websitephoenix.apache.orgwww.dbase.comwww.featurebase.comcloud.google.com/­bigtable
Technical documentationphoenix.apache.orgwww.dbase.com/­support/­knowledgebasedocs.featurebase.comcloud.google.com/­bigtable/­docs
DeveloperApache Software FoundationAsthon TateMolecula and Pilosa Open Source ContributorsGoogle
Initial release2014197920172015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019dBASE 2019, 20192022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsLinux
Unix
Windows
DOS infodBase Classic
Windows infodBase Pro
Linux
macOS
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyesnono
SQL infoSupport of SQLyesnoSQL queriesno
APIs and other access methodsJDBCnone infoThe IDE can access other DBMS or ODBC-sources.gRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
dBase proprietary IDEJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsno infoThe IDE can access stored procedures in other database systems.no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes
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 integritynoyesyesno
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 DBMSyesAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache PhoenixdBASEFeatureBaseGoogle Cloud Bigtable
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