DBMS > Adabas vs. Druid vs. Elasticsearch vs. TigerGraph

System Properties Comparison Adabas vs. Druid vs. Elasticsearch vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

OLTP - DBMS for mainframes and Linux/Unix/Windows environments info

used typically together with the Natural programming platform

Open-source analytics data store designed for OLAP queries on timeseries data

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

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

Primary database model

Multivalue DBMS

Relational DBMS
Time Series DBMS

Search engine

Graph DBMS

Secondary database models

Document store

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

Score	4.34
Rank	#70	Overall
	#1	Multivalue DBMS

Score	1.83
Rank	#115	Overall
	#57	Relational DBMS
	#7	Time Series DBMS

Score	150.25
Rank	#7	Overall
	#1	Search engines

Score	0.96
Rank	#154	Overall
	#10	Graph DBMS

Website

www.softwareag.com/corporate/products/adabas_natural/adabas/default.html

druid.apache.org

www.elastic.co/products/elasticsearch

www.tigergraph.com

Technical documentation

druid.apache.org/docs/latest/design

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

docs.tigergraph.com

Developer

Software AG

Metamarkets Group and contributors

Elastic

Initial release

1971

2012

2010

2017

Current release

7.3.0, August 2019

License

Commercial or Open Source

commercial

Open Source info

Apache license v2

Open Source info

Apache Version 2; Elastic License

commercial

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

Java

C++

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

Linux
OS X
Unix

All OS with a Java VM

Linux

Data scheme

yes

schema-less columns are supported

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

SQL support via Apache Calcite adapter

SQL-like query language

SQL-like query language (GSQL)

APIs and other access methods

HTTP API

with add-on software Adabas SOA Gateway
SOAP-based API info

with add-on software Adabas SOA Gateway

JSON over HTTP

Java API
RESTful HTTP/JSON API

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

Supported programming languages

Natural

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C++
Java

Server-side scripts info

Stored procedures

in Natural

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

yes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vista

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

yes, via HDFS, S3 or other storage engines

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys info

Referential integrity

yes

Relationships in graphs

Transaction concepts info

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

ACID

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.

Memcached and Redis integration

User concepts info

Access control

only with OS-specific tools (e.g. IBM RACF, CA Top Secret)

available via extensions

Role-based access control

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
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TigerGraph is a native graph database, with massively parallel processing and fully...
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Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Typical application scenarios

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Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Key customers

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TigerGraph’s proven technology supports applications such as fraud detection, customer...
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Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
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TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more

Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
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