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DBMS > BigchainDB vs. dBASE vs. Google Cloud Datastore vs. Oracle Coherence vs. Sphinx

System Properties Comparison BigchainDB vs. dBASE vs. Google Cloud Datastore vs. Oracle Coherence vs. Sphinx

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdBase 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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOracles in-memory data grid solutionOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSDocument storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.bigchaindb.comwww.dbase.comcloud.google.com/­datastorewww.oracle.com/­java/­coherencesphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docs
DeveloperAsthon TateGoogleOracleSphinx Technologies Inc.
Initial release20161979200820072001
Current releasedBASE 2019, 201914.1, August 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
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 languagePythonJavaC++
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes, details hereyesno
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.nonono
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (GQL)noSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
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.using Google App Enginenono
TriggersnoCallbacks using the Google Apps Engineyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication using Paxosyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnono
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 DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infooptionallyyes 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 controlyesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authenticationno

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More resources
BigchainDBdBASEGoogle Cloud DatastoreOracle CoherenceSphinx
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