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DBMS > dBASE vs. Google Cloud Bigtable vs. Sequoiadb vs. Tkrzw vs. VoltDB

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. Sequoiadb vs. Tkrzw vs. VoltDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSequoiadb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVoltDB  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.NewSQL database with distributed OLTP and SQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSKey-value store
Wide column store
Document store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.dbase.comcloud.google.com/­bigtablewww.sequoiadb.comdbmx.net/­tkrzwwww.voltdb.com
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.voltdb.com
DeveloperAsthon TateGoogleSequoiadb Ltd.Mikio HirabayashiVoltDB Inc.
Initial release19792015201320202010
Current releasedBASE 2019, 20190.9.3, August 202011.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinuxLinux
macOS
Linux
OS X infofor development
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regexnoyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes infoonly a subset of SQL 99
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)
proprietary protocol using JSONJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
C++
Java
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noJavaScriptnoJava
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infoFOREIGN KEY constraints are not supported
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 operationsDocument is locked during a transactionACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlnoUsers and roles with access to stored procedures

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More resources
dBASEGoogle Cloud BigtableSequoiadbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVoltDB
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