DBMS > BoltDB vs. SAP HANA vs. SQream DB vs. WakandaDB

System Properties Comparison BoltDB vs. SAP HANA vs. SQream DB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

An embedded key-value store for Go.

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

a GPU-based, columnar RDBMS for big data analytics workloads

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Key-value store

Relational DBMS

Object oriented DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.70
Rank	#225	Overall
	#31	Key-value stores

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	0.62
Rank	#234	Overall
	#109	Relational DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

github.com/boltdb/bolt

www.sap.com/products/hana.html

sqream.com

wakanda.github.io

Technical documentation

help.sap.com/hana

docs.sqream.com

wakanda.github.io/doc

Developer

SAP

SQream Technologies

Wakanda SAS

Initial release

2013

2010

2017

2012

Current release

2.0 SPS07 (April 4, 2023), April 2023

2022.1.6, December 2022

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

MIT License

commercial

Open Source

AGPLv3, extended commercial license 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

C++, CUDA, Haskell, Java, Scala

C++, JavaScript

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Appliance or cloud-service

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

APIs and other access methods

JDBC
ODBC

.Net
JDBC
ODBC

RESTful HTTP API

Supported programming languages

C++
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

SQLScript, R

user defined functions in Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

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

yes

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