DBMS > AlaSQL vs. SAP HANA vs. searchxml vs. SingleStore

System Properties Comparison AlaSQL vs. SAP HANA vs. searchxml vs. SingleStore

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

DBMS for structured and unstructured content wrapped with an application server

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

Primary database model

Document store
Relational DBMS

Relational DBMS

Native XML DBMS
Search engine

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Document store
Spatial DBMS
Time Series DBMS
Vector DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

Score	5.38
Rank	#62	Overall
	#35	Relational DBMS

Website

alasql.org

www.sap.com/products/hana.html

www.searchxml.net/category/products

www.singlestore.com

Technical documentation

github.com/AlaSQL/alasql

help.sap.com/hana

www.searchxml.net/support/handouts

docs.singlestore.com

Developer

Andrey Gershun & Mathias R. Wulff

SAP

informationpartners gmbh

SingleStore Inc.

Initial release

2014

2010

2015

2013

Current release

2.0 SPS07 (April 4, 2023), April 2023

1.0

8.5, January 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

free developer edition 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.

SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities

Implementation language

JavaScript

C++

C++, Go

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

Appliance or cloud-service

Windows

Linux

64 bit version required

Data scheme

schema-free

yes

schema-free

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

but no triggers and foreign keys

APIs and other access methods

JavaScript API

JDBC
ODBC

RESTful HTTP API
WebDAV
XQuery
XSLT

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC

Supported programming languages

JavaScript

C++

most other programming languages supported via APIs

Bash
C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

SQLScript, R

yes

on the application server

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

none

Sharding

hash partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

sychronisation to multiple collections

Source-replica replication

stores two copies of each physical data partition on two separate nodes

MapReduce

Offers an API for user-defined Map/Reduce methods

can define user-defined aggregate functions for map-reduce-style calculations

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

only for local storage and DOM-storage

ACID

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

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

Domain, group and role-based access control at the document level and for application services

Fine grained access control via users, groups and roles

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

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Market metrics

Customers in various industries worldwide including US and International Industry...
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Licensing and pricing models

F ree Tier and Enterprise Edition
» more

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