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DBMS > dBASE vs. Dgraph vs. EsgynDB vs. GreptimeDB vs. Microsoft Azure AI Search

System Properties Comparison dBASE vs. Dgraph vs. EsgynDB vs. GreptimeDB vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  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 DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsVector 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.dbase.comdgraph.iowww.esgyn.cngreptime.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.dbase.com/­support/­knowledgebasedgraph.io/­docsdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAsthon TateDgraph Labs, Inc.EsgynGreptime Inc.Microsoft
Initial release19792016201520222015
Current releasedBASE 2019, 2019V1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaRust
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
hosted
Data schemeyesschema-freeyesschema-free, schema definition possibleyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
RESTful HTTP API
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noJava Stored ProceduresPythonno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftMulti-source replication between multi datacentersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
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 DBMSACIDACIDno
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 controlAccess rights for users and rolesno infoPlanned for future releasesfine grained access rights according to SQL-standardSimple rights management via user accountsyes infousing Azure authentication
More information provided by the system vendor
dBASEDgraphEsgynDBGreptimeDBMicrosoft Azure AI Search
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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dBASEDgraphEsgynDBGreptimeDBMicrosoft Azure AI Search
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