DBMS > Google Cloud Datastore vs. Rockset vs. Sqrrl
System Properties Comparison Google Cloud Datastore vs. Rockset vs. Sqrrl
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|Editorial information provided by DB-Engines
|Google Cloud Datastore Xexclude from comparison
|Rockset Xexclude from comparison
|Sqrrl Xexclude from comparison
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
|Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
|A scalable, reliable search and analytics service in the cloud, built on RocksDB
|Adaptable, secure NoSQL built on Apache Accumulo
|Primary database model
Wide column store
|Secondary database models
|Amazon originally Sqrrl Data, Inc.
|License Commercial or Open Source
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Typing predefined data types such as float or date
|yes, details here
|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
|all fields are automatically indexed
|SQL Support of SQL
|SQL-like query language (GQL)
|Read-only SQL queries, including JOINs
|APIs and other access methods
|gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
|Supported programming languages
C using GLib
|Server-side scripts Stored procedures
|using Google App Engine
|Callbacks using the Google Apps Engine
|Partitioning methods Methods for storing different data on different nodes
|Sharding making use of Hadoop
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-source replication using Paxos
|selectable replication factor making use of Hadoop
|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.
|Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
|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 updates per row, document, or graph entity
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|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 rights for users and organizations can be defined via Rockset console
|Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
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|Google Cloud Datastore
|Recent citations in the news
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