DBMS > Google Cloud Bigtable vs. H2GIS vs. JSqlDb vs. KairosDB vs. OpenEdge

System Properties Comparison Google Cloud Bigtable vs. H2GIS vs. JSqlDb vs. KairosDB vs. OpenEdge

Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Spatial extension of H2

JavaScript Query Language Database, stores JavaScript objects and primitives

Distributed Time Series DBMS based on Cassandra or H2

Application development environment with integrated database management system

Primary database model

Key-value store
Wide column store

Spatial DBMS

Document store
Object oriented DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	3.26
Rank	#92	Overall
	#13	Key-value stores
	#8	Wide column stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Website

cloud.google.com/bigtable

www.h2gis.org

jsqldb.org (offline)

github.com/kairosdb/kairosdb

www.progress.com/openedge

Technical documentation

cloud.google.com/bigtable/docs

www.h2gis.org/docs/home

kairosdb.github.io

documentation.progress.com/output/ua/OpenEdge_latest

Developer

Google

CNRS

Konrad von Backstrom

Progress Software Corporation

Initial release

2015

2013

2018

2013

1984

Current release

0.8, December 2018

1.2.2, November 2018

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

Apache 2.0

commercial

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

Java

Server operating systems

hosted

Linux
macOS
Windows

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

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

yes

close to SQL 92

APIs and other access methods

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

Graphite protocol
HTTP REST
Telnet API

JDBC
ODBC

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
Python

Java

JavaScript

Java
JavaScript

Node.js
PHP
Python

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

based on H2

functions in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

based on Cassandra

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

Internal replication in Colossus, and regional replication between two clusters in different zones

yes

based on H2

none

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

using RocksDB

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

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

yes

based on H2

simple password-based access control

Users and groups

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