DBMS > Apache Pinot vs. Graph Engine vs. KairosDB vs. searchxml

System Properties Comparison Apache Pinot vs. Graph Engine vs. KairosDB vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Distributed Time Series DBMS based on Cassandra or H2

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Graph DBMS
Key-value store

Time Series DBMS

Native XML DBMS
Search engine

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

Score	0.38
Rank	#275	Overall
	#126	Relational DBMS

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

pinot.apache.org

www.graphengine.io

github.com/kairosdb/kairosdb

www.searchxml.net/category/products

Technical documentation

docs.pinot.apache.org

www.graphengine.io/docs/manual

kairosdb.github.io

www.searchxml.net/support/handouts

Developer

Apache Software Foundation and contributors

Microsoft

informationpartners gmbh

Initial release

2015

2010

2013

2015

Current release

1.0.0, September 2023

1.2.2, November 2018

1.0

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

.NET and C

Java

C++

Server operating systems

All OS with a Java JDK11 or higher

.NET

Linux
OS X
Windows

Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

JDBC

RESTful HTTP API

Graphite protocol
HTTP REST
Telnet API

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Go
Java
Python

C#
C++
F#
Visual Basic

Java
JavaScript

Node.js
PHP
Python

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

on the application server

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes

In-memory capabilities

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

yes

User concepts

Access control

simple password-based access control

Domain, group and role-based access control at the document level and for application services

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More resources

Recent citations in the news

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8 May 2024, SiliconANGLE News

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2 November 2023, Uber

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31 May 2024, SDTimes.com

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8 May 2024, VentureBeat

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