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DBMS > AgensGraph vs. BigchainDB vs. dBASE vs. Google Cloud Datastore vs. Hypertable

System Properties Comparison AgensGraph vs. BigchainDB vs. dBASE vs. Google Cloud Datastore vs. Hypertable

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLBigchainDB 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 PlatformAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Websitebitnine.net/­agensgraphwww.bigchaindb.comwww.dbase.comcloud.google.com/­datastore
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docs
DeveloperBitnine Global Inc.Asthon TateGoogleHypertable Inc.
Initial release20162016197920082009
Current release2.1, December 2018dBASE 2019, 20190.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3commercialcommercialOpen Source infoGNU version 3. Commercial license 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 languageCPythonC++
Server operating systemsLinux
OS X
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemedepending on used data modelschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, details hereno
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 indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesnonoSQL-like query language (GQL)no
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.using Google App Engineno
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication using Paxosselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Foreign keys infoReferential integrityyesnoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
AgensGraphBigchainDBdBASEGoogle Cloud DatastoreHypertable
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