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DBMS > dBASE vs. Dgraph vs. GreptimeDB vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison dBASE vs. Dgraph vs. GreptimeDB vs. Microsoft Azure Synapse Analytics vs. Valentina Server

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDgraph  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  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.Distributed and scalable native Graph DBMSAn open source Time Series DBMS built for increased scalability, high performance and efficiencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.dbase.comdgraph.iogreptime.comazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationwww.dbase.com/­support/­knowledgebasedgraph.io/­docsdocs.greptime.comdocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAsthon TateDgraph Labs, Inc.Greptime Inc.MicrosoftParadigma Software
Initial release19792016202220161999
Current releasedBASE 2019, 20195.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial
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 languageGoRustC++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesyesyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
C#
Java
PHP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noPythonTransact SQLyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via Raftyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
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 DBMSACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes
User concepts infoAccess controlAccess rights for users and rolesno infoPlanned for future releasesSimple rights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
dBASEDgraphGreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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dBASEDgraphGreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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