DBMS > NSDb vs. Spark SQL vs. TiDB vs. Transbase

System Properties Comparison NSDb vs. Spark SQL vs. TiDB vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Spark SQL is a component on top of 'Spark Core' for structured data processing

TiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Document store

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

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Score	22.86
Rank	#35	Overall
	#21	Relational DBMS

Score	3.54
Rank	#93	Overall
	#49	Relational DBMS

Score	0.07
Rank	#325	Overall
	#147	Relational DBMS

Website

nsdb.io

spark.apache.org/sql

pingcap.com

www.transaction.de/en/products/transbase.html

Technical documentation

nsdb.io/Architecture

spark.apache.org/docs/latest/sql-programming-guide.html

docs.pingcap.com/tidb/stable

www.transaction.de/en/products/transbase/features.html

Developer

Apache Software Foundation

PingCAP, Inc.

Transaction Software GmbH

Initial release

2017

2014

2016

1987

Current release

3.2.0, October 2021

5.0.1, April 2021

Transbase 8.4, September 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

free development license

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.

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

Implementation language

Java, Scala

Scala

Go, Rust

C and C++

Server operating systems

Linux
macOS

Linux
OS X
Windows

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes: int, bigint, decimal, string

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.

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

SQL-like DML and DDL statements

yes

APIs and other access methods

gRPC
HTTP REST
WebSocket

JDBC
ODBC

JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Java
Scala

Java
Python
R
Scala

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

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes, utilizing Spark Core

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

currently only supported in syntax

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Using Apache Lucene

yes

In-memory capabilities

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

User concepts

Access control

Users with fine-grained authorization concept. No user groups or roles.

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

TiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more

Competitive advantages

In the current database landscape, infrastructure engineers often have to use one...
» more

Typical application scenarios

TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more

Key customers

Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more

Market metrics

25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more

Licensing and pricing models

Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more

News

TiDB Operator Source Code Reading (V): Backup and Restore
14 December 2021

Implementing Chaos Engineering in K8s: Chaos Mesh Principle Analysis and Control Plane Development
9 December 2021

TiDB 5.3: Delivering Enhancements for Data Intensive Applications
7 December 2021

Believe in the Multiplicative Power of Openness
30 November 2021

How to Connect TiDB Cloud to Metabase
24 November 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.