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DBMS > Apache IoTDB vs. Brytlyt vs. Elasticsearch vs. etcd vs. Ingres

System Properties Comparison Apache IoTDB vs. Brytlyt vs. Elasticsearch vs. etcd vs. Ingres

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonElasticsearch  Xexclude from comparisonetcd  Xexclude from comparisonIngres  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 FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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 metricA distributed reliable key-value storeWell established RDBMS
Primary database modelTime Series DBMSRelational DBMSSearch engineKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteiotdb.apache.orgbrytlyt.iowww.elastic.co/­elasticsearchetcd.io
github.com/­etcd-io/­etcd
www.actian.com/­databases/­ingres
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.actian.com/­ingres
DeveloperApache Software FoundationBrytlytElasticActian Corporation
Initial release2018201620101974 infooriginally developed at University Berkely in early 1970s
Current release1.1.0, April 20235.0, August 20238.6, January 20233.4, August 201911.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJavaGoC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
Windows infoexperimental
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infospecific XML-type available, but no XML query functionality.nonono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languagenoyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
gRPC
JSON over HTTP
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyesnoyes
Triggersyesyesyes infoby using the 'percolation' featureyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationnono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Apache IoTDBBrytlytElasticsearchetcdIngres
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