DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. Splunk vs. Transwarp KunDB

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. Splunk vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name	Google Cloud Datastore  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Splunk  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
Description	Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Analytics Platform for Big Data	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Document store	Time Series DBMS	Search engine	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.36 Rank #72   Overall #12   Document stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 89.10 Rank #14   Overall #2   Search engines	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	cloud.google.com/­datastore	www.hawkular.org	www.splunk.com	www.transwarp.cn/­en/­product/­kundb
Technical documentation	cloud.google.com/­datastore/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.splunk.com/­Documentation/­Splunk
Developer	Google	Community supported by Red Hat	Splunk Inc.	Transwarp
Initial release	2008	2014	2003
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial Limited free edition and free developer edition available	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java
Server operating systems	hosted	Linux OS X Windows	Linux OS X Solaris Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	yes, details here	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	yes
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	SQL-like query language (GQL)	no	no Splunk Search Processing Language for search commands	yes
APIs and other access methods	gRPC (using protocol buffers) API RESTful HTTP/JSON API	HTTP REST	HTTP REST
Supported programming languages	.Net Go Java JavaScript (Node.js) PHP Python Ruby	Go Java Python Ruby	C# Java JavaScript PHP Python Ruby
Server-side scripts Stored procedures	using Google App Engine	no	yes	yes
Triggers	Callbacks using the Google Apps Engine	yes via Hawkular Alerting	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication using Paxos	selectable replication factor based on Cassandra	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes using Google Cloud Dataflow	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong 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 based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	yes via ReferenceProperties or Ancestor paths	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID Serializable Isolation within Transactions, Read Committed outside of Transactions	no	no A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no
User concepts Access control	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	no	Access rights for users and roles	yes
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More resources
	Google Cloud Datastore	Hawkular Metrics	Splunk	Transwarp KunDB
DB-Engines blog posts			Enterprise Search Engines almost double their popularity in the last 12 months 2 July 2014, Paul Andlinger show all
Recent citations in the news	Google Cloud Platform: Professional Data Engineer certification prep 11 June 2024, oreilly.com Google Cloud Stops Exit Fees 12 January 2024, Spiceworks News and Insights Best cloud storage of 2024 4 June 2024, TechRadar BigID Data Intelligence Platform Now Available on Google Cloud Marketplace 6 November 2023, PR Newswire Google says it'll stop charging fees to transfer data out of Google Cloud 11 January 2024, TechCrunch provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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