DBMS > Apache Druid vs. Apache Jena - TDB vs. Fujitsu Enterprise Postgres vs. Microsoft SQL Server vs. TiDB

System Properties Comparison Apache Druid vs. Apache Jena - TDB vs. Fujitsu Enterprise Postgres vs. Microsoft SQL Server vs. TiDB

Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Microsofts flagship relational DBMS

TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Primary database model

Relational DBMS
Time Series DBMS

RDF store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS
Spatial DBMS

Document store

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

Score	3.34
Rank	#88	Overall
	#48	Relational DBMS
	#7	Time Series DBMS

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	0.31
Rank	#285	Overall
	#129	Relational DBMS

Score	824.29
Rank	#3	Overall
	#3	Relational DBMS

Score	4.66
Rank	#70	Overall
	#38	Relational DBMS

Website

druid.apache.org

jena.apache.org/documentation/tdb/index.html

www.postgresql.fastware.com

www.microsoft.com/en-us/sql-server

pingcap.com

Technical documentation

druid.apache.org/docs/latest/design

jena.apache.org/documentation/tdb/index.html

www.postgresql.fastware.com/product-manuals

learn.microsoft.com/en-US/sql/sql-server

docs.pingcap.com/tidb/stable

Developer

Apache Software Foundation and contributors

Apache Software Foundation

originally developed by HP Labs

PostgreSQL Global Development Group, Fujitsu Australia Software Technology

Microsoft

PingCAP, Inc.

Initial release

2012

2000

1989

2016

Current release

29.0.1, April 2024

4.9.0, July 2023

Fujitsu Enterprise Postgres 14, January 2022

SQL Server 2022, November 2022

8.0.0, March 2024

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Apache License, Version 2.0

commercial

restricted free version is available

Open Source

Apache 2.0

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.

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TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.

Implementation language

Java

C++

Go, Rust

Server operating systems

Linux
OS X
Unix

All OS with a Java VM

Linux
Windows

Linux

Data scheme

yes

schema-less columns are supported

yes

RDF Schemas

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 for querying

yes

APIs and other access methods

JDBC
RESTful HTTP/JSON API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

Java

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

user defined functions

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

none

partitioning by range, list and by hash

tables can be distributed across several files (horizontal partitioning); sharding through federation

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

none

Source-replica replication

yes, but depending on the SQL-Server Edition

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

full support since version 6.6

Transaction concepts

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

ACID

TDB Transactions

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

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

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

Access control via Jena Security

fine grained access rights according to SQL-standard

Fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

100% compatible with community PostgreSQL
» more

TiDB is an advanced open-source, distributed SQL database for modern application...
» more

Competitive advantages

Built-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more

- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
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Typical application scenarios

Transactional payments applications, reporting and mixed workloads.
» more

TiDB is ideal for transactional applications that require extreme scalability and...
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Key customers

Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more

Market metrics

Over 30 years experience in database technology. Over 20 years in Postgres development...
» more

34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more

Licensing and pricing models

Core based licensing
» more

TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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