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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Bigtable  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 metricNatively in-memory DBMS with options for persistency, high-availability and clusteringGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSSearch engineRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Time 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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.comwww.elastic.co/­elasticsearchwww.mcobject.comcloud.google.com/­bigtablensdb.io
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­bigtable/­docsnsdb.io/­Architecture
DeveloperCognitectElasticMcObjectGoogle
Initial release20122010200120152017
Current release1.0.7075, December 20238.6, January 20238.2, 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC and C++Java, Scala
Server operating systemsAll OS with a Java VMAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes: 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.nonono infosupport of XML interfaces availablenono
Secondary indexesyesyes infoAll search fields are automatically indexedyesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageyes infowith the option: eXtremeSQLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyesnono
TriggersBy using transaction functionsyes infoby using the 'percolation' featureyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesno
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 ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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 integrationyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
DatomicElasticsearcheXtremeDBGoogle Cloud BigtableNSDb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DatomicElasticsearcheXtremeDBGoogle Cloud BigtableNSDb
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