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DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. JanusGraph vs. PouchDB vs. STSdb

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. JanusGraph vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017JavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeTime Series DBMSGraph DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitecloud.google.com/­datastorewww.hawkular.orgjanusgraph.orgpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgpouchdb.com/­guides
DeveloperGoogleCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusApache Software FoundationSTS Soft SC
Initial release20082014201720122011
Current release0.6.3, February 20237.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC#
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesnoyes infoprimitive types and user defined types (classes)
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 indexesyesnoyesyes infovia viewsno
SQL infoSupport of SQLSQL-like query language (GQL)nononono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
Clojure
Java
Python
JavaScriptC#
Java
Server-side scripts infoStored proceduresusing Google App EnginenoyesView functions in JavaScriptno
TriggersCallbacks using the Google Apps Engineyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandrayesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUser authentification and security via Rexster Graph Servernono

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More resources
Google Cloud DatastoreHawkular MetricsJanusGraph infosuccessor of TitanPouchDBSTSdb
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