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

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

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.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 grid
Primary database modelRelational DBMSRelational DBMSSpatial DBMSKey-value store
Wide column store
Key-value store
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
Score0.22
Rank#309  Overall
#139  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
Websitewww.dbase.comwww.featurebase.comwww.geomesa.orgcloud.google.com/­bigtablehazelcast.com
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.featurebase.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperAsthon TateMolecula and Pilosa Open Source ContributorsCCRi and othersGoogleHazelcast
Initial release19792017201420152008
Current releasedBASE 2019, 20192022, May 20224.0.5, February 20245.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; commercial licenses available
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 languageGoScalaJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
macOS
hostedAll OS with a Java VM
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnoSQL queriesnonoSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesdBase proprietary IDEJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyes infoEvent Listeners, Executor Services
Triggersnonononoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
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 Algorithm
Foreign keys infoReferential integrityyesyesnonono
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 DBMSyesnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layernoyes
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 control

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More resources
dBASEFeatureBaseGeoMesaGoogle Cloud BigtableHazelcast
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