DBMS > Amazon CloudSearch vs. Heroic vs. QuestDB vs. SWC-DB

System Properties Comparison Amazon CloudSearch vs. Heroic vs. QuestDB vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

A hosted search engine service by Amazon with the data stored in Amazons cloud

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

A high performance open source SQL database for time series data

A high performance, scalable Wide Column DBMS

Primary database model

Search engine

Time Series DBMS

Wide column store

Secondary database models

Relational DBMS

Time Series DBMS

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

Score	2.20
Rank	#120	Overall
	#11	Search engines

Score	0.22
Rank	#283	Overall
	#22	Time Series DBMS

Score	1.27
Rank	#151	Overall
	#11	Time Series DBMS

Score	0.02
Rank	#342	Overall
	#13	Wide column stores

Website

aws.amazon.com/cloudsearch

spotify.github.io/heroic/#!/index

questdb.io

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

docs.aws.amazon.com/cloudsearch

spotify.github.io/heroic/#!/docs/overview

questdb.io/docs/introduction

Developer

Amazon

Spotify

QuestDB Limited

Alex Kashirin

Initial release

2012

2014

2020

Current release

0.5, April 2021

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

hosted

Linux
macOS
Windows

Linux

Data scheme

yes

schema-free

yes

schema-free via InfluxDB Line Protocol

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

all search fields are automatically indexed

yes

via Elasticsearch

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP API

HQL (Heroic Query Language, a JSON-based language)
HTTP API

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC

Proprietary protocol
Thrift

Supported programming languages

PostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust

over HTTP

C++

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

horizontal partitioning (by timestamps)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

yes

Configurable consistency for N replicas

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID for single-table writes

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.

yes

through memory mapped files

User concepts

Access control

authentication via encrypted signatures

More information provided by the system vendor

Specific characteristics

Relational model with native time series support Column based storage and time partitioned...
» more

Competitive advantages

Real-time data ingestion and istant SQL queries for time series High performance...
» more

Typical application scenarios

Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more

Licensing and pricing models

Apache 2.0.
» more

News

Time Series Forecasting with TensorFlow and QuestDB
20 June 2022

Building a Data Pipeline using QuestDB and Confluent Kafka
7 June 2022

QuestDB 6.4 Release Highlights
31 May 2022

4Bn rows/sec query benchmark: Clickhouse vs QuestDB vs Timescale
26 May 2022

How to build a real-time crypto tracker with Redpanda and QuestDB
25 May 2022

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More resources

DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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