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DBMS > LevelDB vs. Newts vs. Rockset vs. ScyllaDB vs. SpaceTime

System Properties Comparison LevelDB vs. Newts vs. Rockset vs. ScyllaDB vs. SpaceTime

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNewts  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTime Series DBMS based on CassandraA scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column storeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelKey-value storeTime Series DBMSDocument storeWide column storeSpatial DBMS
Secondary database modelsRelational DBMS
Search engine
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitegithub.com/­google/­leveldbopennms.github.io/­newtsrockset.comwww.scylladb.comwww.mireo.com/­spacetime
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­OpenNMS/­newts/­wikidocs.rockset.comdocs.scylladb.com
DeveloperGoogleOpenNMS GroupRocksetScyllaDBMireo
Initial release20112014201920152020
Current release1.23, February 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0commercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Windows
hostedLinuxLinux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesdynamic typingyesyes
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.nonono infoingestion from XML files supportednono
Secondary indexesnonoall fields are automatically indexedyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)A subset of ANSI SQL is implemented
APIs and other access methodsHTTP REST
Java API
HTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaGo
Java
JavaScript (Node.js)
Python
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#
C++
Python
Server-side scripts infoStored proceduresnononoyes, Luano
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraAutomatic shardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayesselectable replication factor infoRepresentation of geographical distribution of servers is possibleReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesno
User concepts infoAccess controlnonoAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users can be defined per objectyes
More information provided by the system vendor
LevelDBNewtsRocksetScyllaDBSpaceTime
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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More resources
LevelDBNewtsRocksetScyllaDBSpaceTime
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