DBMS > Atos Standard Common Repository vs. Databricks vs. OpenSearch vs. QuestDB vs. TinkerGraph

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. OpenSearch vs. QuestDB vs. TinkerGraph

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

A high performance open source SQL database for time series data

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Document store
Key-value store

Document store
Relational DBMS

Search engine

Time Series DBMS

Graph DBMS

Secondary database models

Vector DBMS

Relational DBMS

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

Score	76.33
Rank	#17	Overall
	#3	Document stores
	#11	Relational DBMS

Score	15.65
Rank	#38	Overall
	#4	Search engines

Score	2.48
Rank	#115	Overall
	#9	Time Series DBMS

Score	0.12
Rank	#344	Overall
	#34	Graph DBMS

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

www.databricks.com

github.com/opensearch-project
opensearch.org

questdb.io

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

docs.databricks.com

opensearch.org/docs/latest

questdb.io/docs

Developer

Atos Convergence Creators

Databricks

Amazon Web Services

QuestDB Technology Inc

Initial release

2016

2013

2021

2014

2009

Current release

1703

2.5.0, January 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.

Implementation language

Java

Java (Zero-GC), C++, Rust

Java

Server operating systems

Linux

hosted

All OS with a Java VM

Linux
macOS
Windows

Data scheme

Schema and schema-less with LDAP views

Flexible Schema (defined schema, partial schema, schema free)

schema-free

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

yes

schema-free via InfluxDB Line Protocol

schema-free

Typing

predefined data types such as float or date

optional

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

All search fields are automatically indexed

SQL

Support of SQL

with Databricks SQL

SQL-like query language

SQL with time-series extensions

APIs and other access methods

LDAP

JDBC
ODBC
RESTful HTTP API

Java API
RESTful HTTP/JSON API

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol

TinkerPop 3

Supported programming languages

All languages with LDAP bindings

Python
R
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

PostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust

over HTTP

Groovy
Java

Server-side scripts

Stored procedures

user defined functions and aggregates

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

horizontal partitioning (by timestamps)

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication with eventual consistency

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Eventual Consistency

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

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

Atomic execution of specific operations

ACID

ACID for single-table writes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional

In-memory capabilities

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

yes

through memory mapped files

yes

User concepts

Access control

LDAP bind authentication

More information provided by the system vendor

Specific characteristics

Supported database models : In addition to the Document store and Relational DBMS...
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OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customers

Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more

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