DBMS > Google Cloud Datastore vs. Redis vs. Rockset
System Properties Comparison Google Cloud Datastore vs. Redis vs. Rockset
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|Editorial information provided by DB-Engines
|Google Cloud Datastore Xexclude from comparison
|Redis Xexclude from comparison
|Rockset Xexclude from comparison
|Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
|Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
|A scalable, reliable search and analytics service in the cloud, built on RocksDB
|Primary database model
|Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
|Secondary database models
|Document store with RedisJSON
Graph DBMS with RedisGraph
Search engine with RediSearch
Time Series DBMS with RedisTimeSeries
|Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc.
|7.2.4, January 2024
|License Commercial or Open Source
|Open Source source-available extensions (modules), commercial licenses for Redis Enterprise
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
|Server operating systems
Windows ported and maintained by Microsoft Open Technologies, Inc.
|Typing predefined data types such as float or date
|yes, details here
|partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
|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.
|no ingestion from XML files supported
|yes with RediSearch module
|all fields are automatically indexed
|SQL Support of SQL
|SQL-like query language (GQL)
|with RediSQL module
|Read-only SQL queries, including JOINs
|APIs and other access methods
|gRPC (using protocol buffers) API
RESTful HTTP/JSON API
|proprietary protocol RESP - REdis Serialization Protocol
|Supported programming languages
|Server-side scripts Stored procedures
|using Google App Engine
|Lua; Redis Functions coming in Redis 7 (slides and Github)
|Callbacks using the Google Apps Engine
|publish/subscribe channels provide some trigger functionality; RedisGears
|Partitioning methods Methods for storing different data on different nodes
|Sharding Automatic hash-based sharding with support for hash-tags for manual sharding
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-source replication using Paxos
|Multi-source replication with Redis Enterprise Pack
Source-replica replication Chained replication is supported
|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.
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
|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
|Atomic execution of command blocks and scripts and optimistic locking
|Concurrency Support for concurrent manipulation of data
|yes Data access is serialized by the server
|Durability Support for making data persistent
|yes Configurable mechanisms for persistency via snapshots and/or operations logs
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
|Access Control Lists (ACLs): redis.io/docs/management/security/acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/docs/management/security/encryption
|Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
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|Related products and services
|CData: Connect to Big Data & NoSQL through standard Drivers.
Redisson PRO: The ultra-fast Redis Java Client.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Datastore
|DB-Engines blog posts
PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year
MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year
MongoDB is the DBMS of the year, defending the title from last year
|Recent citations in the news
Google says it'll stop charging fees to transfer data out of Google Cloud
Google Cloud is NOT magicking away data egress fees
NetApp Cloud Volumes Service datastore support for Google Cloud VMware Engine
3 Useful tips for using Google Cloud Datastore.
Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
provided by Google News
In-memory database Redis wants to dabble in disk
Uber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency
Redis adds support for vector database search in its first unified platform update
provided by Google News
Rockset enhances vector search to support cloud-based AI applications at scale
Rockset targets cost control with latest database update
Rockset boosts AI capabilities for vector database search
Rockset lands $44M to power real-time search and analytics apps
provided by Google News
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