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DBMS > dBASE vs. Google Cloud Bigtable vs. HBase vs. KeyDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. HBase vs. KeyDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptiondBase 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value store
Wide column store
Wide column storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.dbase.comcloud.google.com/­bigtablehbase.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docshbase.apache.org/­book.htmldocs.keydb.devdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAsthon TateGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetEQ Alpha Technology Ltd.Microsoft
Initial release19792015200820192016
Current releasedBASE 2019, 20192.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinux
Unix
Windows infousing Cygwin
Linuxhosted
Data schemeyesschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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
Secondary indexesyesnonoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noyes infoCoprocessors in JavaLuaTransact SQL
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsSingle row ACID (across millions of columns)Optimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control and ACLyes

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More resources
dBASEGoogle Cloud BigtableHBaseKeyDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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