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DBMS > Drizzle vs. Spark SQL vs. Sqrrl vs. ToroDB vs. YDB

System Properties Comparison Drizzle vs. Spark SQL vs. Sqrrl vs. ToroDB vs. YDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSpark SQL  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  Xexclude from comparisonYDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spark SQL is a component on top of 'Spark Core' for structured data processingAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQLA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitespark.apache.org/­sqlsqrrl.comgithub.com/­torodb/­servergithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.8KdataYandex
Initial release20082014201220162019
Current release7.2.4, September 20123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoAGPL-V3Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaJavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
LinuxAll OS with a Java 7 VMLinux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_idyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsnoSQL-like query language (YQL)
APIs and other access methodsJDBCJDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Java
PHP
Java
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnononono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infomaking use of HadoopShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of HadoopSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entitynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
DrizzleSpark SQLSqrrlToroDBYDB
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