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DBMS > Amazon CloudSearch vs. GridDB vs. JanusGraph vs. Newts vs. Quasardb

System Properties Comparison Amazon CloudSearch vs. GridDB vs. JanusGraph vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGridDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable in-memory time series database optimized for IoT and Big DataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelSearch engineTime Series DBMSGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchgriddb.netjanusgraph.orgopennms.github.io/­newtsquasar.ai
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.griddb.netdocs.janusgraph.orggithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperAmazonToshiba CorporationLinux Foundation; originally developed as Titan by AureliusOpenNMS Groupquasardb
Initial release20122013201720142009
Current release5.1, August 20220.6.3, February 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++JavaJavaC++
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes infointeger and binary
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 indexesyes infoall search fields are automatically indexedyesyesnoyes infowith tags
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nonoSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Java API
HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationyesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Faunus, a graph analytics enginenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph ServernoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Amazon CloudSearchGridDBJanusGraph infosuccessor of TitanNewtsQuasardb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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Amazon CloudSearchGridDBJanusGraph infosuccessor of TitanNewtsQuasardb
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