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DBMS > atoti vs. HBase vs. Lovefield vs. ScyllaDB

System Properties Comparison atoti vs. HBase vs. Lovefield vs. ScyllaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScriptCassandra and DynamoDB compatible wide column store
Primary database modelObject oriented DBMSWide column storeRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteatoti.iohbase.apache.orggoogle.github.io/­lovefieldwww.scylladb.com
Technical documentationdocs.atoti.iohbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.scylladb.com
DeveloperActiveViamApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleScyllaDB
Initial release200820142015
Current release2.3.4, January 20212.1.12, February 2017ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoOpen Source (AGPL), 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 languageJavaJavaJavaScriptC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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 indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language infovia JavaScript builder patternSQL-like DML and DDL statements (CQL)
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
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptFor 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 proceduresPythonyes infoCoprocessors in Javanoyes, Lua
TriggersyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneSharding
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 possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes infoin-memory tables
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users can be defined per object
More information provided by the system vendor
atotiHBaseLovefieldScyllaDB
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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atotiHBaseLovefieldScyllaDB
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