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DBMS > LevelDB vs. PostgreSQL vs. ScyllaDB vs. Tkrzw

System Properties Comparison LevelDB vs. PostgreSQL vs. ScyllaDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonScyllaDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCassandra and DynamoDB compatible wide column storeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Wide column storeKey-value store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­google/­leveldbwww.postgresql.orgwww.scylladb.comdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgresql.org/­docsdocs.scylladb.com
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerScyllaDBMikio Hirabayashi
Initial release20111989 info1989: Postgres, 1996: PostgreSQL20152020
Current release1.23, February 202116.3, May 2024ScyllaDB Open Source 5.4.1, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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Implementation languageC++CC++C++
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxLinux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like DML and DDL statements (CQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Luano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesyes infousing specific database classes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per objectno
More information provided by the system vendor
LevelDBPostgreSQLScyllaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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