DBMS > OpenTSDB vs. SAP HANA vs. SurrealDB vs. Vitess

System Properties Comparison OpenTSDB vs. SAP HANA vs. SurrealDB vs. Vitess

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Editorial information provided by DB-Engines

Name

Description

Scalable Time Series DBMS based on HBase

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

A fully ACID transactional, developer-friendly, multi-model DBMS

Scalable, distributed, cloud-native DBMS, extending MySQL

Primary database model

Time Series DBMS

Relational DBMS

Document store
Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Document store
Spatial DBMS

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

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Score	0.86
Rank	#203	Overall
	#34	Document stores
	#18	Graph DBMS

Score	0.82
Rank	#209	Overall
	#97	Relational DBMS

Website

opentsdb.net

www.sap.com/products/hana.html

surrealdb.com

vitess.io

Technical documentation

opentsdb.net/docs/build/html/index.html

help.sap.com/hana

surrealdb.com/docs

vitess.io/docs

Developer

currently maintained by Yahoo and other contributors

SAP

SurrealDB Ltd

The Linux Foundation, PlanetScale

Initial release

2011

2010

2022

2013

Current release

2.0 SPS07 (April 4, 2023), April 2023

v1.1.1, January 2024

15.0.2, December 2022

License

Commercial or Open Source

Open Source

LGPL

commercial

Open Source

Apache Version 2.0, commercial licenses available

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

Java

Rust

Server operating systems

Linux
Windows

Appliance or cloud-service

Linux
macOS
Windows

Docker
Linux
macOS

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

numeric data for metrics, strings for tags

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

SQL-like query language

yes

with proprietary extensions

APIs and other access methods

HTTP API
Telnet API

JDBC
ODBC

GraphQL
RESTful HTTP API
WebSocket

ADO.NET
JDBC
MySQL protocol
ODBC

Supported programming languages

Erlang
Go
Java
Python
R
Ruby

Deno
Go
JavaScript (Node.js)
Rust

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

SQLScript, R

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Immediate Consistency

Eventual Consistency across shards
Immediate Consistency within a shard

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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

yes

yes, based on authentication and database rules

Users with fine-grained authorization concept

no user groups or roles

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