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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. etcd vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. etcd vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Coherence  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
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 FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed reliable key-value storeElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOracles in-memory data grid solution
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­java/­coherence
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationAtos Convergence CreatorsMicrosoftOracle
Initial release2018201620162007
Current release1.1.0, April 202317033.4, August 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaJavaGoC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxFreeBSD
Linux
Windows infoexperimental
hostedAll OS with a Java VM
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languagenonoyesno
APIs and other access methodsJDBC
Native API
LDAPgRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
PHP
.Net
C++
Java
Server-side scripts infoStored proceduresyesnonoTransact SQLno
Triggersyesyesyes, watching key changesnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesLDAP bind authenticationnoyesauthentification to access the cache via certificates or http basic authentication

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More resources
Apache IoTDBAtos Standard Common RepositoryetcdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle Coherence
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