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DBMS > Apache Phoenix vs. JanusGraph vs. OpenTSDB vs. ScyllaDB

System Properties Comparison Apache Phoenix vs. JanusGraph vs. OpenTSDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOpenTSDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable Time Series DBMS based on HBaseCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSGraph DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitephoenix.apache.orgjanusgraph.orgopentsdb.netwww.scylladb.com
Technical documentationphoenix.apache.orgdocs.janusgraph.orgopentsdb.net/­docs/­build/­html/­index.htmldocs.scylladb.com
DeveloperApache Software FoundationLinux Foundation; originally developed as Titan by Aureliuscurrently maintained by Yahoo and other contributorsScyllaDB
Initial release2014201720112015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.6.3, February 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoLGPLOpen 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 languageJavaJavaJavaC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Unix
Windows
Linux
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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.nononono
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Telnet API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
Erlang
Go
Java
Python
R
Ruby
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
Server-side scripts infoStored proceduresuser defined functionsyesnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor infobased on HBaseselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUser authentification and security via Rexster Graph ServernoAccess rights for users can be defined per object
More information provided by the system vendor
Apache PhoenixJanusGraph infosuccessor of TitanOpenTSDBScyllaDB
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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Apache PhoenixJanusGraph infosuccessor of TitanOpenTSDBScyllaDB
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