DBMS > Elasticsearch vs. Google Cloud Datastore vs. NSDb
System Properties Comparison Elasticsearch vs. Google Cloud Datastore vs. NSDb
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||NSDb Xexclude from comparison|
|Description||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes|
|Primary database model||Search engine||Document store||Time Series DBMS|
|Secondary database models||Document store|
|Current release||8.6, January 2023|
|License Commercial or Open Source||Open Source Elastic License||commercial||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Java||Java, Scala|
|Server operating systems||All OS with a Java VM||hosted||Linux|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||schema-free|
|Typing predefined data types such as float or date||yes||yes, details here||yes: int, bigint, decimal, string|
|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||no||no|
|Secondary indexes||yes All search fields are automatically indexed||yes||all fields are automatically indexed|
|SQL Support of SQL||SQL-like query language||SQL-like query language (GQL)||SQL-like query language|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
|gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||using Google App Engine||no|
|Triggers||yes by using the 'percolation' feature||Callbacks using the Google Apps Engine|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication using Paxos|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||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||no||yes via ReferenceProperties or Ancestor paths||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||Using Apache Lucene|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||Memcached and Redis integration||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|Elasticsearch||Google Cloud Datastore||NSDb|
|DB-Engines blog posts|
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