DBMS > Impala vs. PouchDB vs. Qdrant vs. TimescaleDB

System Properties Comparison Impala vs. PouchDB vs. Qdrant vs. TimescaleDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

JavaScript DBMS with an API inspired by CouchDB

A vector similarity Search Engine with neural network or semantic based matching

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

Primary database model

Secondary database models

Document store

Relational DBMS

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

Score	17.79
Rank	#40	Overall
	#25	Relational DBMS

Score	3.10
Rank	#99	Overall
	#18	Document stores

Score	0.04
Rank	#335	Overall
	#21	Search engines

Score	4.56
Rank	#83	Overall
	#5	Time Series DBMS

Website

www.cloudera.com/products/open-source/apache-hadoop/impala.html

pouchdb.com

github.com/qdrant/qdrant
qdrant.tech

www.timescale.com

Technical documentation

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

pouchdb.com/guides

qdrant.tech/documentation

docs.timescale.com

Developer

Cloudera

Apache Software Foundation

Qdrant

Timescale

Initial release

2013

2012

2021

2017

Current release

4.0.0, July 2021

7.1.1, June 2019

2.6.0, February 2022

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

JavaScript

Rust

Server operating systems

Linux

server-less, requires a JavaScript environment (browser, Node.js)

Docker

Linux
OS X
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

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

via views

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

full PostgreSQL SQL syntax

APIs and other access methods

JDBC
ODBC

HTTP REST

only for PouchDB Server
JavaScript API

RESTful HTTP/JSON API

OpenAPI 3.0

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

All languages supporting JDBC/ODBC

JavaScript

Python

.Net
C
C++
Delphi
Java

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

View functions in JavaScript

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

yes, across time and space (hash partitioning) attributes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Source-replica replication with hot standby and reads on replicas

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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 Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Timescale is the creator of TimescaleDB , the first open-source relational database...
» more

Competitive advantages

TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more

Typical application scenarios

Time-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...
» more

Key customers

TransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...
» more

Market metrics

With over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...
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Licensing and pricing models

TimescaleDB is available as a self-hosted product under two licenses, the Timescale...
» more

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