DBMS > Immudb vs. LeanXcale vs. SAP HANA vs. SpatiaLite

System Properties Comparison Immudb vs. LeanXcale vs. SAP HANA vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

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

Spatial extension of SQLite

Primary database model

Key-value store

Key-value store
Relational DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Relational DBMS

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

Score	0.24
Rank	#295	Overall
	#42	Key-value stores

Score	0.28
Rank	#286	Overall
	#41	Key-value stores
	#130	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Website

github.com/codenotary/immudb
immudb.io

www.leanxcale.com

www.sap.com/products/hana.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.immudb.io

help.sap.com/hana

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Codenotary

LeanXcale

SAP

Alessandro Furieri

Initial release

2020

2015

2010

2008

Current release

1.2.3, April 2022

2.0 SPS07 (April 4, 2023), April 2023

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

BSD
Linux
macOS
Solaris
Windows
z/OS

Appliance or cloud-service

server-less

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like syntax

yes

through Apache Derby

yes

APIs and other access methods

gRPC protocol
PostgreSQL wire protocol

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

JDBC
ODBC

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
Python

C
Java
Scala

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

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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