DBMS > Lovefield vs. Splunk vs. TigerGraph vs. Tkrzw vs. Yaacomo

System Properties Comparison Lovefield vs. Splunk vs. TigerGraph vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines

Name

Description

Embeddable relational database for web apps written in pure JavaScript

Analytics Platform for Big Data

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

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

Score	0.23
Rank	#283	Overall
	#133	Relational DBMS

Score	96.35
Rank	#13	Overall
	#2	Search engines

Score	2.24
Rank	#121	Overall
	#9	Graph DBMS

Score	0.00
Rank	#354	Overall
	#54	Key-value stores

Score	0.00
Rank	#354	Overall
	#152	Relational DBMS

Website

google.github.io/lovefield

Technical documentation

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.splunk.com/Documentation/Splunk

docs.tigergraph.com

Developer

Google

Splunk Inc.

Mikio Hirabayashi

Q2WEB GmbH

Initial release

2014

2003

2017

2020

2009

Current release

2.1.12, February 2017

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Limited free edition and free developer edition available

commercial

Open Source

Apache Version 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

JavaScript

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Linux
OS X
Solaris
Windows

Linux

Linux
macOS

Android
Linux
Windows

Data scheme

yes

schema-free

yes

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

via JavaScript builder pattern

Splunk Search Processing Language for search commands

SQL-like query language (GSQL)

yes

APIs and other access methods

HTTP REST

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

JDBC
ODBC

Supported programming languages

JavaScript

C#
Java
JavaScript
PHP
Python
Ruby

C++
Java

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

Using read-only observers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

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

Durability

Support for making data persistent

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

yes

using specific database classes

yes

User concepts

Access control

Access rights for users and roles

Role-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

TigerGraph is a native graph database, with massively parallel processing and fully...
» more

Competitive advantages

TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more

Typical application scenarios

Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more

Key customers

Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more

Market metrics

ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more

Licensing and pricing models

Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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Recent citations in the news

Lovefield: An SQL-like Query Engine by Google
18 November 2014, InfoQ.com

provided by Google News

TigerGraph unveils new tool for machine learning modeling
25 May 2022, TechTarget

TigerGraph's Graph for All Million Dollar Challenge Winners Impress With Innovative Solutions to Global Issues Using Graph Technology
25 May 2022, GlobeNewswire

TigerGraph Graph for All Million Dollar Challenge Finalists Push the Boundaries of Graph and AI Technology; Projects Help Refugees, Detect Organized Crime, and Fight Global Misinformation
5 May 2022, GlobeNewswire

TigerGraph Delivers 600% ROI and $20.81M in Net Present
12 May 2022, GlobeNewswire

Graph + AI Summit 2022 Unveils Agenda Featuring Sessions and Speakers from US Bank, Xbox, Intuit, Constellation Research, Gartner, and More
11 May 2022, GlobeNewswire

provided by Google News

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