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DBMS > Amazon DocumentDB vs. BigchainDB vs. dBASE vs. HEAVY.AI vs. Memgraph

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. dBASE vs. HEAVY.AI vs. Memgraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB 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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
memgraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.heavy.aimemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAsthon TateHEAVY.AI, Inc.Memgraph Ltd
Initial release20192016197920162017
Current releasedBASE 2019, 20195.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercial infoFree license 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 languagePythonC++ and CUDAC and C++
Server operating systemshostedLinuxDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoRound robinSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornoneMulti-source replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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 rolesyesAccess rights for users and rolesfine grained access rights according to SQL-standardUsers, roles and permissions
More information provided by the system vendor
Amazon DocumentDBBigchainDBdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Memgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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