DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > FeatureBase vs. Google Cloud Datastore vs. Rockset

System Properties Comparison FeatureBase vs. Google Cloud Datastore vs. Rockset

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSDocument storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#293  Overall
#134  Relational DBMS
Score4.87
Rank#78  Overall
#12  Document stores
Score1.01
Rank#201  Overall
#35  Document stores
Websitewww.featurebase.comcloud.google.com/­datastorerockset.com
Technical documentationdocs.featurebase.comcloud.google.com/­datastore/­docsrockset.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogleRockset
Initial release201720082019
Current release2022, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
macOS
hostedhosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details heredynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL queriesSQL-like query language (GQL)Read-only SQL queries, including JOINs
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesJava
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno
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.Eventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console

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
FeatureBaseGoogle Cloud DatastoreRockset
Recent citations in the news

Molecula Austin Office: Careers, Perks + Culture
15 November 2023, Built In Austin

Funding wrap: H.O. Maycotte's Molecula raises $10M, rebrands; UT snags $15M to lead regional innovation hub
12 September 2022, The Business Journals

The 10 Hottest Big Data Startups Of 2021
18 November 2021, CRN

Get Your Infrastructure Ready for Real-Time Analytics
8 March 2022, Built In

Pilosa: A Scalable High Performance Bitmap Database Index
17 June 2019, hackernoon.com

provided by Google News

Google says it'll stop charging fees to transfer data out of Google Cloud
11 January 2024, Yahoo Finance Australia

Google Cloud is NOT magicking away data egress fees
12 January 2024, The Stack

NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
7 February 2023, netapp.com

3 Useful tips for using Google Cloud Datastore.
21 August 2018, hackernoon.com

Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
11 November 2019, DevClass

provided by Google News

Rockset enhances vector search to support cloud-based AI applications at scale
20 November 2023, SiliconANGLE News

Rockset Releases New Instance Class, Gains Momentum as the Search and Analytics Database Built for the Cloud
1 February 2024, Datanami

Rockset targets cost control with latest database update
31 January 2024, TechTarget

Rockset boosts AI capabilities for vector database search
20 November 2023, VentureBeat

Rockset lands $44M to power real-time search and analytics apps
29 August 2023, TechCrunch

provided by Google News



Share this page

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

The open source vector database for GenAI.
Try Managed Milvus Free

Present your product here