DBMS > Cassandra vs. EsgynDB vs. GeoMesa vs. Weaviate

System Properties Comparison Cassandra vs. EsgynDB vs. GeoMesa vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

A cloud-native, realtime vector search engine integrating scalable machine learning models

Primary database model

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

Score	118.01
Rank	#11	Overall
	#1	Wide column stores

Score	0.21
Rank	#288	Overall
	#134	Relational DBMS

Score	0.78
Rank	#199	Overall
	#3	Spatial DBMS

Score	0.17
Rank	#295	Overall
	#19	Search engines

Website

cassandra.apache.org

www.esgyn.cn

www.geomesa.org

github.com/semi-technologies/weaviate
weaviate.io

Technical documentation

cassandra.apache.org/doc/latest

www.geomesa.org/documentation/stable/user/index.html

weaviate.io/developers/weaviate/current

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Esgyn

CCRi and others

SeMI Technologies B.V.

Initial release

2008

2015

2014

2017

Current release

4.0.4, May 2022

3.2.0, April 2021

1.0.3, January 2021

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

Apache License 2.0

Open Source

commercial license available with Weaviate Enterprise

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C++, Java

Scala

Server operating systems

BSD
Linux
OS X
Windows

Linux

Data scheme

schema-free

yes

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, int, float, geo point, date, cross reference, fuzzy references

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

restricted

only equality queries, not always the best performing solution

yes

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

yes

GraphQL is used as query language

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

ADO.NET
JDBC
ODBC

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

depending on storage layer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

Multi-source replication between multi datacenters

depending on storage layer

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

depending on storage layer

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomicity and isolation are supported for single operations

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.

depending on storage layer

User concepts

Access control

Access rights for users can be defined per object

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

OpenID Connect Discovery

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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As a stand-alone vector search engine, or use one of the many modules (transformers,...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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A ll companies that have data.
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
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News

Lift your MLOps pipeline to the cloud with Feast and Astra DB
18 May 2022

Moving to Cloud-Native Applications and Data with Kubernetes and Apache Cassandra
17 May 2022

5 Ways to Develop Faster and Easier with Apache Cassandra on AWS
13 May 2022

Why a Cloud-Native Database Must Run on K8s
12 May 2022

Introduction to Apache Cassandra - the “Lamborghini” of the NoSQL World
11 May 2022

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