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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHazelcast  Xexclude from comparisonOracle Coherence  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 PlatformA widely adopted in-memory data gridOracles in-memory data grid solution
Primary database modelDocument storeRelational DBMSDocument storeKey-value storeKey-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
Score0.79
Rank#212  Overall
#36  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.bigchaindb.comwww.dbase.comcloud.google.com/­datastorehazelcast.comwww.oracle.com/­java/­coherence
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docshazelcast.org/­imdg/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAsthon TateGoogleHazelcastOracle
Initial release20161979200820082007
Current releasedBASE 2019, 20195.3.6, November 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
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 languagePythonJavaJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMAll OS with a Java VM
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query languageno
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
Memcached protocol
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.using Google App Engineyes infoEvent Listeners, Executor Servicesno
TriggersnoCallbacks using the Google Apps Engineyes infoEventsyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication using Paxosyes infoReplicated Mapyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyesno
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.Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual 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 Transactionsone or two-phase-commit; repeatable reads; read commitedconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlauthentification to access the cache via certificates or http basic authentication

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More resources
BigchainDBdBASEGoogle Cloud DatastoreHazelcastOracle Coherence
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