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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  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 FlinkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed reliable key-value storeWell established RDBMS
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteiotdb.apache.orgatoti.iobrytlyt.ioetcd.io
github.com/­etcd-io/­etcd
www.actian.com/­databases/­ingres
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.iodocs.brytlyt.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.actian.com/­ingres
DeveloperApache Software FoundationActiveViamBrytlytActian Corporation
Initial release201820161974 infooriginally developed at University Berkely in early 1970s
Current release1.1.0, April 20235.0, August 20233.4, August 201911.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialOpen 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 languageJavaJavaC, C++ and CUDAGoC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)yesnoyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresyesPythonuser defined functions infoin PL/pgSQLnoyes
Triggersyesyesyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioninghorizontal 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 replicationUsing 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 Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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 IoTDBatotiBrytlytetcdIngres
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