DBMS > NSDb vs. SAP Adaptive Server vs. Spark SQL vs. TiDB

System Properties Comparison NSDb vs. SAP Adaptive Server vs. Spark SQL vs. TiDB

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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

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

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.

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Spatial DBMS

with Boeing's Spatial Query Server

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	47.78
Rank	#25	Overall
	#17	Relational DBMS

Score	22.86
Rank	#35	Overall
	#21	Relational DBMS

Score	3.54
Rank	#93	Overall
	#49	Relational DBMS

Website

nsdb.io

www.sap.com/products/sybase-ase.html

spark.apache.org/sql

pingcap.com

Technical documentation

nsdb.io/Architecture

help.sap.com/viewer/product/SAP_ASE

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

docs.pingcap.com/tidb/stable

Developer

SAP, Sybase

Apache Software Foundation

PingCAP, Inc.

Initial release

2017

1987

2014

2016

Current release

16.0

3.2.0, October 2021

5.0.1, April 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

Apache 2.0

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.

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

Implementation language

Java, Scala

C and C++

Scala

Go, Rust

Server operating systems

Linux
macOS

AIX
HP-UX
Linux
Solaris
Unix
Windows

Linux
OS X
Windows

Linux

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

yes

SQL-like DML and DDL statements

yes

APIs and other access methods

gRPC
HTTP REST
WebSocket

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

JDBC
ODBC

JDBC
ODBC
Proprietary protocol

Supported programming languages

Java
Scala

C
C++
Cobol
Java
Java
Perl
PHP
Python

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

Server-side scripts

Stored procedures

Java and Transact-SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

yes, utilizing Spark Core

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

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

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

currently only supported in syntax

Transaction concepts

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

ACID

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

fine grained access rights according to SQL-standard

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

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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