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DBMS > Datomic vs. Elasticsearch vs. Google Cloud Bigtable vs. HBase vs. NSDb

System Properties Comparison Datomic vs. Elasticsearch vs. Google Cloud Bigtable vs. HBase vs. NSDb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSearch engineKey-value store
Wide column store
Wide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.comwww.elastic.co/­elasticsearchcloud.google.com/­bigtablehbase.apache.orgnsdb.io
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlnsdb.io/­Architecture
DeveloperCognitectElasticGoogleApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20122010201520082017
Current release1.0.6735, June 20238.6, January 20232.3.4, January 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoElastic LicensecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJavaJava, Scala
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesnooptions to bring your own types, AVROyes: int, bigint, decimal, string
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.nonononono
Secondary indexesyesyes infoAll search fields are automatically indexednonoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenonoSQL-like query language
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnoyes infoCoprocessors in Javano
TriggersBy using transaction functionsyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentMemcached and Redis integrationnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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DatomicElasticsearchGoogle Cloud BigtableHBaseNSDb
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