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DBMS > Amazon CloudSearch vs. Blazegraph vs. HEAVY.AI vs. LevelDB vs. Lovefield

System Properties Comparison Amazon CloudSearch vs. Blazegraph vs. HEAVY.AI vs. LevelDB vs. Lovefield

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlazegraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­cloudsearchblazegraph.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbgoogle.github.io/­lovefield
Technical documentationdocs.aws.amazon.com/­cloudsearchwiki.blazegraph.comdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonBlazegraphHEAVY.AI, Inc.GoogleGoogle
Initial release20122006201620112014
Current release2.1.5, March 20195.10, January 20221.23, February 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC++JavaScript
Server operating systemshostedLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesnoyes
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 indexesyes infoall search fields are automatically indexedyesnonoyes
SQL infoSupport of SQLnoSPARQL is used as query languageyesnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresnoyesnonono
TriggersnonononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoRound robinnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlauthentication via encrypted signaturesSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnono

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