DBMS > Hyprcubd vs. RocksDB vs. SAP SQL Anywhere vs. StarRocks vs. SWC-DB

System Properties Comparison Hyprcubd vs. RocksDB vs. SAP SQL Anywhere vs. StarRocks vs. SWC-DB

Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

A high performance, scalable Wide Column DBMS

Primary database model

Secondary database models

Time Series DBMS

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

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	3.95
Rank	#80	Overall
	#42	Relational DBMS

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

hyprcubd.com (offline)

rocksdb.org

www.sap.com/products/technology-platform/sql-anywhere.html

www.starrocks.io

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

github.com/facebook/rocksdb/wiki

help.sap.com/docs/SAP_SQL_Anywhere

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Hyprcubd, Inc.

Facebook, Inc.

SAP

formerly Sybase

The Linux Foundation

since Feb 2023

Alex Kashirin

Initial release

2013

1992

2020

Current release

9.2.1, May 2024

17, July 2015

3.3, June 2024

0.5, April 2021

License

Commercial or Open Source

commercial

Open Source

BSD

commercial

Open Source

Apache Version 2.0

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C++, Java

C++

Server operating systems

hosted

Linux

AIX
HP-UX
Linux
OS X
Solaris
Windows

Linux

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

time, int, uint, float, 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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

SQL-like query language

APIs and other access methods

gRPC (https)

C++ API
Java API

ADO.NET
HTTP API
JDBC
ODBC

JDBC
MySQL protocol

Proprietary protocol
Thrift

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Java

C++

Server-side scripts

Stored procedures

yes, in C/C++, Java, .Net or Perl

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

horizontal partitioning (by range and hash)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

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

token access

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

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