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DBMS > HBase vs. LevelDB vs. ScyllaDB vs. Splice Machine

System Properties Comparison HBase vs. LevelDB vs. ScyllaDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesCassandra and DynamoDB compatible wide column storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeKey-value storeWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitehbase.apache.orggithub.com/­google/­leveldbwww.scylladb.comsplicemachine.com
Technical documentationhbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.scylladb.comsplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleScyllaDBSplice Machine
Initial release2008201120152014
Current release2.3.4, January 20211.23, February 2021ScyllaDB Open Source 5.4.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSDOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes
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
Secondary indexesnonoyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes, Luayes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users can be defined per objectAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HBaseLevelDBScyllaDBSplice Machine
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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