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DBMS > Blueflood vs. dBASE vs. Google Cloud Bigtable vs. Microsoft Azure SQL Database vs. Riak KV

System Properties Comparison Blueflood vs. dBASE vs. Google Cloud Bigtable vs. Microsoft Azure SQL Database vs. Riak KV

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandradBase 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.Database as a Service offering with high compatibility to Microsoft SQL ServerDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteblueflood.iowww.dbase.comcloud.google.com/­bigtableazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRackspaceAsthon TateGoogleMicrosoftOpenSource, formerly Basho Technologies
Initial release20131979201520102009
Current releasedBASE 2019, 2019V123.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Erlang
Server operating systemsLinux
OS X
DOS infodBase Classic
Windows infodBase Pro
hostedhostedLinux
OS X
Data schemepredefined schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyesno
Secondary indexesnoyesnoyesrestricted
SQL infoSupport of SQLnononoyesno
APIs and other access methodsHTTP RESTnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noTransact SQLErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with always 3 replicas availableselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic 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.nono
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes, using Riak Security

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BlueflooddBASEGoogle Cloud BigtableMicrosoft Azure SQL Database infoformerly SQL AzureRiak KV
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