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DBMS > EsgynDB vs. Hive vs. Memcached vs. RisingWave vs. Spark SQL

System Properties Comparison EsgynDB vs. Hive vs. Memcached vs. RisingWave vs. Spark SQL

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonMemcached  Xexclude from comparisonRisingWave  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory key-value store, originally intended for cachingA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.esgyn.cnhive.apache.orgwww.memcached.orgwww.risingwave.com/­databasespark.apache.org/­sql
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­memcached/­memcached/­wikidocs.risingwave.com/­docs/­current/­introspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEsgynApache Software Foundation infoinitially developed by FacebookDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRisingWave LabsApache Software Foundation
Initial release20152012200320222014
Current release3.1.3, April 20221.6.27, May 20241.2, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaCRustScala
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoStandard SQL-types and JSONyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Proprietary protocolJDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reducenoUDFs in Python or Javano
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factornone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolUsers and Rolesno

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More resources
EsgynDBHiveMemcachedRisingWaveSpark SQL
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