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DBMS > Google Cloud Datastore vs. JanusGraph vs. jBASE vs. Prometheus vs. Splunk

System Properties Comparison Google Cloud Datastore vs. JanusGraph vs. jBASE vs. Prometheus vs. Splunk

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A robust multi-value DBMS comprising development tools and middlewareOpen-source Time Series DBMS and monitoring systemAnalytics Platform for Big Data
Primary database modelDocument storeGraph DBMSMultivalue DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­datastorejanusgraph.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.iowww.splunk.com
Technical documentationcloud.google.com/­datastore/­docsdocs.janusgraph.orgdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusRocket Software (formerly Zumasys)Splunk Inc.
Initial release20082017199120152003
Current release0.6.3, February 20235.7
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer 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 languageJavaGo
Server operating systemshostedLinux
OS X
Unix
Windows
AIX
Linux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesoptionalNumeric data onlyyes
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.nonoyesno infoImport of XML data possibleyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)noEmbedded SQL for jBASE in BASICnono infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP/JSON APIHTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
.Net
Basic
Jabbascript
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Engineyesyesnoyes
TriggersCallbacks using the Google Apps Engineyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyesyes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes infovia Faunus, a graph analytics enginenonoyes
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
Immediate Consistency
noneEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph ServerAccess rights can be defined down to the item levelnoAccess rights for users and roles

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More resources
Google Cloud DatastoreJanusGraph infosuccessor of TitanjBASEPrometheusSplunk
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