DBMS > Amazon CloudSearch vs. Google Cloud Datastore vs. JaguarDB

System Properties Comparison Amazon CloudSearch vs. Google Cloud Datastore vs. JaguarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform

Performant, highly scalable DBMS for AI and IoT applications

Primary database model

Search engine

Document store

Key-value store
Vector DBMS

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

Score	2.49
Rank	#130	Overall
	#12	Search engines

Score	5.34
Rank	#76	Overall
	#12	Document stores

Score	0.00
Rank	#398	Overall
	#66	Key-value stores
	#13	Vector DBMS

Website

aws.amazon.com/cloudsearch

cloud.google.com/datastore

www.datajaguar.com

Technical documentation

docs.aws.amazon.com/cloudsearch

cloud.google.com/datastore/docs

www.jaguardb.com/support.html

Developer

Amazon

Google

DataJaguar, Inc.

Initial release

2012

2008

2015

Current release

3.3 July 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

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

C++

the server part. Clients available in other languages

Server operating systems

hosted

Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes, details here

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

SQL

Support of SQL

SQL-like query language (GQL)

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

HTTP API

gRPC (using protocol buffers) API
RESTful HTTP/JSON API

JDBC
ODBC

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

using Google App Engine

Triggers

Callbacks using the Google Apps Engine

Partitioning methods

Methods for storing different data on different nodes

yes

automatic partitioning across Amazon Search Instance as required

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

managed transparently by AWS

Multi-source replication using Paxos

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on type of query and configuration

Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.

Eventual Consistency

Foreign keys

Referential integrity

yes

via ReferenceProperties or Ancestor paths

Transaction concepts

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

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

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

authentication via encrypted signatures

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

rights management via user accounts

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

show all

Recent citations in the news

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

provided by Google News

NetApp pushes ONTAP into VMware's Google Cloud Engine – Blocks and Files
7 February 2023, Blocks and Files

Google’s Cloud Platform Gets Improved Hadoop Support With BigQuery And Cloud Datastore Connectors
16 April 2014, TechCrunch

Google announces new faster API for Google Cloud Datastore
4 April 2016, 9to5Google

What is Google Cloud?
1 February 2022, TechTarget

At a High Level: Microsoft Azure vs. Google Cloud Platform
13 September 2019, eWeek

provided by Google News

Job opportunities

Senior Data Engineer
When I Work, Minneapolis, MN

Senior Server Software Engineer
Canvis, San Francisco, CA

Senior Software Engineer
GivePulse, Austin, TX

Senior QA and DevOps Engineer
Canvis, San Francisco, CA

Senior Programmer Analyst I
IEEE Corporate, Piscataway, NJ

Cloud Services Fellow
Zebra Technologies, Kennesaw, GA

Senior Software Engineer
Legalist, San Francisco, CA

Senior Full Stack Engineer for Payment Initiation Platform - Assistant Vice President
Deutsche Bank, Cary, NC

Data Engineer
Miracle Software Systems, Georgia

Staff Software Developer
BECU, Washington State

Java Developer
SAIC, Kansas City, MO

Java Developer
SAIC, O'Fallon, IL

jobs by

Share this page