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DBMS > Apache Phoenix vs. etcd vs. Oracle Coherence vs. PlanetScale vs. RavenDB

System Properties Comparison Apache Phoenix vs. etcd vs. Oracle Coherence vs. PlanetScale vs. RavenDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonetcd  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPlanetScale  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed reliable key-value storeOracles in-memory data grid solutionScalable, distributed, serverless MySQL database platform built on top of VitessOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitephoenix.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.oracle.com/­java/­coherenceplanetscale.comravendb.net
Technical documentationphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.oracle.com/­en/­middleware/­standalone/­coherenceplanetscale.com/­docsravendb.net/­docs
DeveloperApache Software FoundationOraclePlanetScaleHibernating Rhinos
Initial release2014200720202010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 201914.1, August 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaGoC#
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VMDocker
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesnonoyes infowith proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsJDBCgRPC
JSON over HTTP
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
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
.Net
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoproprietary syntaxyes
Triggersnoyes, watching key changesyes infoLive Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, with selectable consistency levelMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurableACID at shard levelACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoauthentification to access the cache via certificates or http basic authenticationUsers with fine-grained authorization concept infono user groups or rolesAuthorization levels configured per client per database

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More resources
Apache PhoenixetcdOracle CoherencePlanetScaleRavenDB
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