DBMS > SAP HANA vs. YugabyteDB

System Properties Comparison SAP HANA vs. YugabyteDB

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Our visitors often compare SAP HANA and YugabyteDB with PostgreSQL, MongoDB and MySQL.

Editorial information provided by DB-Engines

Name

Description

In-memory, column based data store. Available as appliance or cloud service

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition

Document store
Wide column store

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Trend Chart

Score	50.87
Rank	#21	Overall
	#13	Relational DBMS

Score	1.18
Rank	#157	Overall
	#77	Relational DBMS

Website

www.sap.com/products/hana.html

www.yugabyte.com

Technical documentation

help.sap.com/hana

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

SAP

Yugabyte Inc.

Initial release

2010

2017

Current release

2.0 SPS05 (June 26, 2020), June 2020

2.2.0, July 2020

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

Server operating systems

Appliance or cloud-service

Linux
OS X

Data scheme

yes

depending on used data model

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.

Secondary indexes

yes

SQL

Support of SQL

yes

yes, PostgreSQL compatible

APIs and other access methods

JDBC
ODBC

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

SQLScript, R

yes

sql, plpgsql, C

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Hash and Range Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

based on RocksDB

In-memory capabilities

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

yes

User concepts

Access control

yes

More information provided by the system vendor

Specific characteristics

Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more

Competitive advantages

YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
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Typical application scenarios

YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more

Licensing and pricing models

YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

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