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DBMS > atoti vs. DolphinDB vs. Geode vs. LevelDB vs. Lovefield

System Properties Comparison atoti vs. DolphinDB vs. Geode vs. LevelDB vs. Lovefield

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelObject oriented DBMSTime Series DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteatoti.iowww.dolphindb.comgeode.apache.orggithub.com/­google/­leveldbgoogle.github.io/­lovefield
Technical documentationdocs.atoti.iodocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperActiveViamDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleGoogle
Initial release2018200220112014
Current releasev2.00.4, January 20221.1, February 20171.23, February 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++JavaScript
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageSQL-like query language (OQL)noSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresPythonyesuser defined functionsnono
Triggersnoyes infoCache Event ListenersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing MemoryDB
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights per client and object definablenono

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More resources
atotiDolphinDBGeodeLevelDBLovefield
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