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DBMS > EsgynDB vs. Kdb vs. LevelDB vs. ScyllaDB

System Properties Comparison EsgynDB vs. Kdb vs. LevelDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value storeWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.esgyn.cnkx.comgithub.com/­google/­leveldbwww.scylladb.com
Technical documentationcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.scylladb.com
DeveloperEsgynKx Systems, a division of First Derivatives plcGoogleScyllaDB
Initial release20152000 infokdb was released 2000, kdb+ in 200320112015
Current release3.6, May 20181.23, February 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, JavaqC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'noyes infocluster global secondary indices
SQL infoSupport of SQLyesSQL-like query language (q)noSQL-like DML and DDL statements (CQL)
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsnoyes, Lua
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnoAccess rights for users can be defined per object
More information provided by the system vendor
EsgynDBKdbLevelDBScyllaDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsupon request
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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EsgynDBKdbLevelDBScyllaDB
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