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DBMS > Amazon Neptune vs. BigchainDB vs. dBASE vs. HBase vs. HEAVY.AI

System Properties Comparison Amazon Neptune vs. BigchainDB vs. dBASE vs. HBase vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudBigchainDB 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.Wide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.82
Rank#212  Overall
#36  Document stores
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­neptunewww.bigchaindb.comwww.dbase.comhbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationaws.amazon.com/­neptune/­developer-resourcesbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasehbase.apache.org/­book.htmldocs.heavy.ai
DeveloperAmazonAsthon TateApache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.
Initial release20172016197920082016
Current releasedBASE 2019, 20192.3.4, January 20215.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++ and CUDA
Server operating systemshostedLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnoyesoptions to bring your own types, AVROyes
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.yes infoCoprocessors in Javano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factornoneMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
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 DBMSSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneBigchainDBdBASEHBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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