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DBMS > Apache Impala vs. Apache Phoenix vs. etcd vs. LevelDB vs. SAP SQL Anywhere

System Properties Comparison Apache Impala vs. Apache Phoenix vs. etcd vs. LevelDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonetcd  Xexclude from comparisonLevelDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed reliable key-value storeEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteimpala.apache.orgphoenix.apache.orgetcd.io
github.com/­etcd-io/­etcd
github.com/­google/­leveldbwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
github.com/­google/­leveldb/­blob/­main/­doc/­index.mdhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationGoogleSAP infoformerly Sybase
Initial release2013201420111992
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 20191.23, February 202117, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC++
Server operating systemsLinuxLinux
Unix
Windows
FreeBSD
Linux
Windows infoexperimental
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nonononoyes
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoyes
APIs and other access methodsJDBC
ODBC
JDBCgRPC
JSON over HTTP
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnonoyes, in C/C++, Java, .Net or Perl
Triggersnonoyes, watching key changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynonofine grained access rights according to SQL-standard

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