DBMS > CrateDB vs. LevelDB

System Properties Comparison CrateDB vs. LevelDB

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Editorial information provided by DB-Engines

Name

Description

Distributed Date Store based on Lucene

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

Primary database model

Relational DBMS
Search engine

Key-value store

Secondary database models

Document store
Time Series DBMS

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

Score	0.99
Rank	#211	Overall
	#98	Relational DBMS
	#16	Search engines

Score	3.65
Rank	#97	Overall
	#17	Key-value stores

Website

crate.io

github.com/google/leveldb

Technical documentation

crate.io/docs

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

Developer

Crate

Google

Initial release

2013

2011

Current release

1.23, February 2021

License

Commercial or Open Source

Open Source

BSD

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.

CrateDB Cloud: The operational database that enables data insights at scale. Available on Azure, AWS and Google Cloud.

Implementation language

Java

C++

Server operating systems

All OS with a Java 7 (and higher) VM

Illumos
Linux
OS X
Windows

Data scheme

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

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

SQL

Support of SQL

yes, but no triggers and constraints

APIs and other access methods

ADO.NET

community maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

Supported programming languages

Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
Ruby

community maintained client
Scala

community maintained client

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Read Your Own Writes Consistency

for primary key lookups

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

unique row identifiers can be used for implementing an optimistic concurrency control strategy

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

rights management via user accounts

More information provided by the system vendor

Specific characteristics

CrateDB is an open-source distributed SQL database that spreads data and processing...
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Competitive advantages

CrateDB is typically used in operational analytics applications. In those scenarios,...
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Typical application scenarios

CrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
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Key customers

CrateDB customers include Qualtrics , Nokia, NBC Golfnow , Digital Domain , ALPLA...
» more

Market metrics

The CrateDB open source project was started in 2013. CrateDB was the winner of the...
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Licensing and pricing models

CrateDB pricing CrateDB on-premises is open source and free to use under the Apache...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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