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DBMS > dBASE vs. GeoMesa vs. Google Cloud Bigtable vs. Hazelcast vs. mSQL

System Properties Comparison dBASE vs. GeoMesa vs. Google Cloud Bigtable vs. Hazelcast vs. mSQL

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonmSQL infoMini SQL  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSSpatial DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.dbase.comwww.geomesa.orgcloud.google.com/­bigtablehazelcast.comhughestech.com.au/­products/­msql
Technical documentationwww.dbase.com/­support/­knowledgebasewww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperAsthon TateCCRi and othersGoogleHazelcastHughes Technologies
Initial release19792014201520081994
Current releasedBASE 2019, 20194.0.5, February 20245.3.6, November 20234.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree licenses can be provided
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 languageScalaJavaC
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
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)
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyes infoEvent Listeners, Executor Servicesno
Triggersnononoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integrityyesnononono
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 DBMSnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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.depending on storage layernoyesno
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlno

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More resources
dBASEGeoMesaGoogle Cloud BigtableHazelcastmSQL infoMini SQL
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