DBMS > BigObject vs. Ingres vs. LMDB vs. OpenTenBase vs. SiriDB

System Properties Comparison BigObject vs. Ingres vs. LMDB vs. OpenTenBase vs. SiriDB

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Well established RDBMS

A high performant, light-weight, embedded key-value database library

An enterprise-level distributed HTAP open source database based on PostgreSQL

Open Source Time Series DBMS

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

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

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	3.63
Rank	#79	Overall
	#43	Relational DBMS

Score	1.94
Rank	#120	Overall
	#20	Key-value stores

Score	0.00
Rank	#385	Overall
	#159	Relational DBMS

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Website

bigobject.io

www.actian.com/databases/ingres

www.symas.com/symas-embedded-database-lmdb

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

siridb.com

Technical documentation

docs.bigobject.io

docs.actian.com/ingres

www.lmdb.tech/doc

docs.opentenbase.org
docs.opentenbase.org/en

docs.siridb.com

Developer

BigObject, Inc.

Actian Corporation

Symas

OpenAtom Foundation, previously Tencent

Cesbit

Initial release

2015

1974

originally developed at University Berkely in early 1970s

2011

2017

Current release

12.0, July 2024

0.9.32, January 2024

2.5, January 2024

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

BSD-3

Open Source

MIT License

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

Linux
Unix
Windows

Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

HTTP API

Supported programming languages

.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl

C
Go
Java
PHP
Python

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

Lua

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Ingres Replicator

none

yes

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

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

MVCC

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

fine grained access rights according to SQL-standard

Access rights for users, groups and roles according to SQL-standard

simple rights management via user accounts

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