DBMS > AlaSQL vs. Bangdb vs. Coveo vs. IBM Db2 warehouse vs. RocksDB

System Properties Comparison AlaSQL vs. Bangdb vs. Coveo vs. IBM Db2 warehouse vs. RocksDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Converged and high performance database for device data, events, time series, document and graph

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

Cloud-based data warehousing service

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

Primary database model

Document store
Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Search engine

Relational DBMS

Key-value store

Secondary database models

Spatial 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	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	2.11
Rank	#118	Overall
	#11	Search engines

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

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

Website

alasql.org

bangdb.com

www.coveo.com

www.ibm.com/products/db2/warehouse

rocksdb.org

Technical documentation

github.com/AlaSQL/alasql

docs.bangdb.com

docs.coveo.com

github.com/facebook/rocksdb/wiki

Developer

Andrey Gershun & Mathias R. Wulff

Sachin Sinha, BangDB

Coveo

IBM

Facebook, Inc.

Initial release

2014

2012

2014

2013

Current release

BangDB 2.0, October 2021

9.2.1, May 2024

License

Commercial or Open Source

Open Source

MIT-License

Open Source

BSD 3

commercial

Open Source

BSD

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

JavaScript

C, C++

C++

Server operating systems

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

Linux

hosted

Linux

Data scheme

schema-free

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

yes

schema-free

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

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.

Import/export of XML data possible

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

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

SQL like support with command line tool

yes

APIs and other access methods

JavaScript API

Proprietary protocol
RESTful HTTP API

RESTful HTTP API

.NET Client API
JDBC
ODBC
OLE DB

C++ API
Java API

Supported programming languages

JavaScript

C
C#
C++
Java
Python

C#
Java
JavaScript
Python

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

PL/SQL, SQL PL

Triggers

yes

yes, Notifications (with Streaming only)

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

yes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor, Knob for CAP (enterprise version only)

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Tunable consistency, set CAP knob accordingly

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

yes

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes

yes, run db with in-memory only mode

yes

User concepts

Access control

yes (enterprise version only)

granular access controls, API key management, content filters

fine grained access rights according to SQL-standard

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