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DBMS > dBASE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Hazelcast vs. Sphinx

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Hazelcast vs. Sphinx

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonSphinx  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A widely adopted in-memory data gridOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeKey-value storeSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score8.96
Rank#48  Overall
#8  Document stores
Score6.87
Rank#55  Overall
#6  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.dbase.comcloud.google.com/­bigtablefirebase.google.com/­products/­firestorehazelcast.comsphinxsearch.com
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docssphinxsearch.com/­docs
DeveloperAsthon TateGoogleGoogleHazelcastSphinx Technologies Inc.
Initial release19792015201720082001
Current releasedBASE 2019, 20195.3.6, November 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedhostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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 strategy
Secondary indexesyesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query languageSQL-like query language (SphinxQL)
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)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Servicesno
Triggersnonoyes, with Cloud Functionsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
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 DBMSAtomic single-row operationsyesone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access controlno

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dBASEGoogle Cloud BigtableGoogle Cloud FirestoreHazelcastSphinx
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