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DBMS > atoti vs. Drizzle vs. HarperDB vs. PlanetScale

System Properties Comparison atoti vs. Drizzle vs. HarperDB vs. PlanetScale

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonPlanetScale  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.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Scalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelObject oriented DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.09
Rank#178  Overall
#82  Relational DBMS
Websiteatoti.iowww.harperdb.ioplanetscale.com
Technical documentationdocs.atoti.iodocs.harperdb.io/­docsplanetscale.com/­docs
DeveloperActiveViamDrizzle project, originally started by Brian AkerHarperDBPlanetScale
Initial release200820172020
Current release7.2.4, September 20123.1, August 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoGNU GPLcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Node.jsGo
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Docker
Linux
macOS
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infowith proprietary extensionsSQL-like data manipulation statementsyes infowith proprietary extensions
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonnoCustom Functions infosince release 3.1yes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
atotiDrizzleHarperDBPlanetScale
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