DB-EnginesExtremeDB: the embedded DBMS for embedded systemsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Kinetica vs. searchxml vs. Yaacomo

System Properties Comparison Google Cloud Datastore vs. Kinetica vs. searchxml vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGPU-accelerated database for real-time analysis of large and streaming datasetsDBMS for structured and unstructured content wrapped with an application serverOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeRelational DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#80  Overall
#12  Document stores
Score0.82
Rank#190  Overall
#95  Relational DBMS
Score0.00
Rank#351  Overall
#7  Native XML DBMS
#19  Search engines
Score0.00
Rank#351  Overall
#142  Relational DBMS
Websitecloud.google.com/­datastorewww.kinetica.comwww.searchxml.net/­category/­productsyaacomo.com
Technical documentationcloud.google.com/­datastore/­docswww.kinetica.com/­docswww.searchxml.net/­support/­handouts
DeveloperGoogleKineticainformationpartners gmbhQ2WEB GmbH
Initial release2008201220152009
Current release6.01.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemshostedLinuxWindowsAndroid
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like DML and DDL statementsnoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsyes infoon the application server
TriggersCallbacks using the Google Apps Engineyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationyes infosychronisation to multiple collectionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong 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.Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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
Google Cloud DatastoreKineticasearchxmlYaacomo
Recent citations in the news

Teradata expands data analytics offerings on Google Cloud
5 May 2021, IT Brief New Zealand

Key-Value Stores Market Size and Growth 2021-2027 | Top Companies – Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase – KSU | The Sentinel Newspaper
11 May 2021, KSU | The Sentinel Newspaper

ChaosSearch adds SQL support to deliver multicloud business intelligence
13 May 2021, SiliconANGLE News

Feature Store: Are Google And Microsoft Late To The Party?
26 April 2021, Analytics India Magazine

Global Key-Value Stores Market Top Positioning Key Player Analysis and Competitive Landscape 2021-2027 – The Courier
12 May 2021, The Courier

provided by Google News

GPU Database Market Share 2021 Recent Trends, Growth Forecast by Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia etc. – Test & Measurement
15 May 2021, Test & Measurement

GPU Database Market- increasing demand with Industry Professionals: Kinetica, Omnisci, Sqream, Neo4j, Nvidia etc. – Test & Measurement
15 May 2021, Test & Measurement

GPU Database Market 2021 Growth Factors and Regional Forecast to 2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2
14 May 2021, Brockville Observer

GPU Database Market Size and Growth Rate 2021 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover – Brockville Observer
13 May 2021, Brockville Observer

GPU Database Market Growth Forecast Analysis 2020-2026 | Best Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc – Brockville Observer
12 May 2021, Brockville Observer

provided by Google News

Job opportunities

Google Cloud Developer
KSM Consulting, Indianapolis, IN

Engineering Manager, Google Cloud Platform
Google, Mountain View, CA

Cloud Microservices Developer
Oracle, Massachusetts

Senior Data Analyst
Policygenius, Durham, NC

Software Engineer II
Five9, Inc., San Ramon, CA

Solutions Engineer (Pre-Sales)
Kinetica DB, San Francisco, CA

Sr. Solutions Architect
Kinetica DB, San Francisco, CA

Sr. Solutions Engineer
Kinetica DB, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here