DBMS > Apache Jena - TDB vs. Cassandra vs. GreptimeDB vs. YDB

System Properties Comparison Apache Jena - TDB vs. Cassandra vs. GreptimeDB vs. YDB

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Editorial information provided by DB-Engines

Name

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

An open source Time Series DBMS built for increased scalability, high performance and efficiency

A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API

Primary database model

RDF store

Wide column store

Time Series DBMS

Document store
Relational DBMS

Secondary database models

Vector DBMS

starting with release V5

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	101.89
Rank	#12	Overall
	#1	Wide column stores

Score	0.06
Rank	#352	Overall
	#33	Time Series DBMS

Score	0.35
Rank	#278	Overall
	#43	Document stores
	#127	Relational DBMS

Website

jena.apache.org/documentation/tdb/index.html

cassandra.apache.org

greptime.com

github.com/ydb-platform/ydb
ydb.tech

Technical documentation

jena.apache.org/documentation/tdb/index.html

cassandra.apache.org/doc/latest

docs.greptime.com

ydb.tech/en/docs

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation

Apache top level project, originally developped by Facebook

Greptime Inc.

Yandex

Initial release

2000

2008

2022

2019

Current release

4.9.0, July 2023

4.1.3, July 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache version 2

Open Source

Apache Version 2.0

Open Source

Apache 2.0; commercial license available

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

Rust

Server operating systems

All OS with a Java VM

BSD
Linux
OS X
Windows

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

yes

RDF Schemas

schema-free

schema-free, schema definition possible

Flexible Schema (defined schema, partial schema, schema free)

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

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

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

yes

SQL-like query language (YQL)

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol

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

gRPC
HTTP API
JDBC

RESTful HTTP API (DynamoDB compatible)

Supported programming languages

Java

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C++
Erlang
Go
Java
JavaScript

Go
Java
JavaScript (Node.js)
PHP
Python

Server-side scripts

Stored procedures

yes

Python

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

Representation of geographical distribution of servers is possible

Active-passive shard replication

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

Foreign keys

Referential integrity

Transaction concepts

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

ACID

TDB Transactions

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.

User concepts

Access control

Access control via Jena Security

Access rights for users can be defined per object

Simple rights management via user accounts

Access rights defined for Yandex Cloud users

More information provided by the system vendor

Specific characteristics

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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
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