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DBMS > Apache IoTDB vs. Elasticsearch vs. Firebolt vs. Google Cloud Bigtable vs. NSDb

System Properties Comparison Apache IoTDB vs. Elasticsearch vs. Firebolt vs. Google Cloud Bigtable vs. NSDb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA 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 metricHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGoogle'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 modelTime Series DBMSSearch engineRelational DBMSKey-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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteiotdb.apache.orgwww.elastic.co/­elasticsearchwww.firebolt.iocloud.google.com/­bigtablensdb.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.firebolt.iocloud.google.com/­bigtable/­docsnsdb.io/­Architecture
DeveloperApache Software FoundationElasticFirebolt Analytics Inc.Google
Initial release20182010202020152017
Current release1.1.0, April 20238.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, Scala
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMhostedhostedLinux
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesnoSQL-like query language
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP/JSON API
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresyesyesnonono
Triggersyesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual 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)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache IoTDBElasticsearchFireboltGoogle Cloud BigtableNSDb
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