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DBMS > LevelDB vs. Prometheus vs. Splice Machine vs. YugabyteDB

System Properties Comparison LevelDB vs. Prometheus vs. Splice Machine vs. YugabyteDB

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitegithub.com/­google/­leveldbprometheus.iosplicemachine.comwww.yugabyte.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdprometheus.io/­docssplicemachine.com/­how-it-worksdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGoogleSplice MachineYugabyte Inc.
Initial release2011201520142017
Current release1.23, February 20213.1, March 20212.19, September 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++GoJavaC and C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeyesyesdepending on used data model
Typing infopredefined data types such as float or datenoNumeric data onlyyesyes
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.nono infoImport of XML data possibleno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infoJavayes infosql, plpgsql, C
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationMulti-source replication
Source-replica replication
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
LevelDBPrometheusSplice MachineYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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LevelDBPrometheusSplice MachineYugabyteDB
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