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DBMS > dBASE vs. EsgynDB vs. Google Cloud Datastore vs. NuoDB vs. openGemini

System Properties Comparison dBASE vs. EsgynDB vs. Google Cloud Datastore vs. NuoDB vs. openGemini

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGemini  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Websitewww.dbase.comwww.esgyn.cncloud.google.com/­datastorewww.3ds.com/­nuodb-distributed-sql-databasewww.opengemini.org
github.com/­openGemini
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docsdoc.nuodb.comdocs.opengemini.org/­guide
DeveloperAsthon TateEsgynGoogleDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGemini community
Initial release19792015200820132022
Current releasedBASE 2019, 20191.1, July 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++Go
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyesInteger, Float, Boolean, String
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 SQLnoyesSQL-like query language (GQL)yesSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesdBase proprietary IDEAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.Java Stored Proceduresusing Google App EngineJava, SQLno
TriggersnonoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersMulti-source replication using Paxosyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsyesno
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 infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.nonoyes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Standard SQL roles/ privileges, Administrative UsersAdministrators and common users accounts

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dBASEEsgynDBGoogle Cloud DatastoreNuoDBopenGemini
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