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DBMS > Hive vs. ScyllaDB vs. TempoIQ vs. VelocityDB

System Properties Comparison Hive vs. ScyllaDB vs. TempoIQ vs. VelocityDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonScyllaDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopCassandra and DynamoDB compatible wide column storeScalable analytics DBMS for sensor data, provided as a service (SaaS)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSWide column storeTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehive.apache.orgwww.scylladb.comtempoiq.com (offline)velocitydb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.scylladb.comvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoinitially developed by FacebookScyllaDBTempoIQVelocityDB Inc
Initial release2012201520122011
Current release3.1.3, April 2022ScyllaDB Open Source 5.4.1, January 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoOpen Source (AGPL), commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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#
Server operating systemsAll OS with a Java VMLinuxAny that supports .NET
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)nono
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP API.Net
Supported programming languagesC++
Java
PHP
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#
Java
JavaScript infoNode.js
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, Luanono
Triggersnonoyes infoRealtime AlertsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tablesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users can be defined per objectsimple authentication-based access controlBased on Windows Authentication
More information provided by the system vendor
HiveScyllaDBTempoIQ infoformerly TempoDBVelocityDB
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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HiveScyllaDBTempoIQ infoformerly TempoDBVelocityDB
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