DBMS > Google Cloud Datastore vs. Hawkular Metrics vs. IBM Db2 vs. Splunk

System Properties Comparison Google Cloud Datastore vs. Hawkular Metrics vs. IBM Db2 vs. Splunk

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Editorial information provided by DB-Engines

Name

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.

Common in IBM host environments, 2 different versions for host and Windows/Linux

Analytics Platform for Big Data

Primary database model

Document store

Time Series DBMS

Relational DBMS info

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Search engine

Secondary database models

Document store
RDF store info

in DB2 LUW (Linux, Unix, Windows)

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	4.89
Rank	#64	Overall
	#11	Document stores

Score	0.08
Rank	#292	Overall
	#23	Time Series DBMS

Score	165.55
Rank	#6	Overall
	#5	Relational DBMS

Score	88.77
Rank	#12	Overall
	#2	Search engines

Website

cloud.google.com/datastore

www.hawkular.org

www.ibm.com/analytics/db2

www.splunk.com

Technical documentation

cloud.google.com/datastore/docs

www.hawkular.org/hawkular-metrics/docs/user-guide

www.ibm.com/support/knowledgecenter/SSEPGG

docs.splunk.com/Documentation/Splunk

Developer

Google

Community supported by Red Hat

IBM

Splunk Inc.

Initial release

2008

2014

1983

host version

2003

Current release

12.1, October 2016

License

Commercial or Open Source

commercial

Open Source info

Apache 2.0

commercial info

free version is available

commercial info

Limited free edition and free developer edition available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C and C++

Server operating systems

hosted

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
OS X
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes, details here

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (GQL)

yes

Splunk Search Processing Language for search commands

APIs and other access methods

gRPC (using protocol buffers) API
RESTful HTTP/JSON API

HTTP REST

ADO.NET
JDBC
JSON style queries info

MongoDB compatible
ODBC
XQuery

HTTP REST

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Go
Java
Python
Ruby

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts info

Stored procedures

using Google App Engine

yes

Triggers

Callbacks using the Google Apps Engine

yes

via Hawkular Alerting

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

only with Windows/Unix/Linux Version

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

Multi-Master replication using Paxos

selectable replication factor info

based on Cassandra

yes

with separate tools (MQ, InfoSphere)

Master-master replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on type of query and configuration info

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 info

based on Cassandra
Immediate Consistency info

based on Cassandra

Eventual Consistency

Foreign keys info

Referential integrity

yes

via ReferenceProperties or Ancestor paths

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

ACID

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

fine grained access rights according to SQL-standard

Access rights for users and roles

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