DBMS > Cassandra vs. LevelDB vs. TDengine

System Properties Comparison Cassandra vs. LevelDB vs. TDengine

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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

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Time Series DBMS and big data platform

Primary database model

Wide column store

Key-value store

Time Series DBMS

Secondary database models

Vector DBMS

starting with release V5

Relational DBMS

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

Score	110.06
Rank	#12	Overall
	#1	Wide column stores

Score	3.04
Rank	#112	Overall
	#21	Key-value stores

Score	2.62
Rank	#128	Overall
	#9	Time Series DBMS

Website

cassandra.apache.org

github.com/google/leveldb

github.com/taosdata/TDengine
tdengine.com

Technical documentation

cassandra.apache.org/doc/latest

github.com/google/leveldb/blob/main/doc/index.md

docs.tdengine.com

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Google

TDEngine, previously Taos Data

Initial release

2008

2011

2019

Current release

4.1.3, July 2023

1.23, February 2021

3.0, August 2022

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

BSD

Open Source

GPL V3, also commercial editions 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.
Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.

Implementation language

Java

C++

Server operating systems

BSD
Linux
OS X
Windows

Illumos
Linux
OS X
Windows

Linux
Windows

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

restricted

only equality queries, not always the best performing solution

SQL

Support of SQL

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

Standard SQL with extensions for time-series applications

APIs and other access methods

Proprietary protocol

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

JDBC
RESTful HTTP API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

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

Server-side scripts

Stored procedures

Triggers

yes

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

none

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

Foreign keys

Referential integrity

Transaction concepts

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

Atomicity and isolation are supported for single operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

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 rights for users can be defined per object

yes

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more

Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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High Performance: TDengine is purpose-built for handling massive industrial datasets,...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more

Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more

Market metrics

Cassandra is used by 40% of the Fortune 100.
» more

TDengine has garnered over 21,000 stars on GitHub and is used in over 50 countries...
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
» more

TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.