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DBMS > Apache IoTDB vs. Apache Phoenix vs. etcd vs. Microsoft Access vs. Oracle Coherence

System Properties Comparison Apache IoTDB vs. Apache Phoenix vs. etcd vs. Microsoft Access vs. Oracle Coherence

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonetcd  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  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 scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed reliable key-value storeMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Oracles in-memory data grid solution
Primary database modelTime Series DBMSRelational DBMSKey-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
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteiotdb.apache.orgphoenix.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherence
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
developer.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationApache Software FoundationMicrosoftOracle
Initial release2018201419922007
Current release1.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 20191902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoBundled with Microsoft Officecommercial
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 languageJavaJavaGoC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Windows
FreeBSD
Linux
Windows infoexperimental
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VM
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
Native API
JDBCgRPC
JSON over HTTP
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infosince Access 2010 using the ACE-engineno
Triggersyesnoyes, watching key changesyes infosince Access 2010 using the ACE-engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction loggingconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authentication

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More resources
Apache IoTDBApache PhoenixetcdMicrosoft AccessOracle Coherence
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