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DBMS > AgensGraph vs. Apache Phoenix vs. DuckDB vs. ScyllaDB

System Properties Comparison AgensGraph vs. Apache Phoenix vs. DuckDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDuckDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embeddable, in-process, column-oriented SQL OLAP RDBMSCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitebitnine.net/­agensgraphphoenix.apache.orgduckdb.orgwww.scylladb.com
Technical documentationbitnine.net/­documentationphoenix.apache.orgduckdb.org/­docsdocs.scylladb.com
DeveloperBitnine Global Inc.Apache Software FoundationScyllaDB
Initial release2016201420182015
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 20190.10, February 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCJavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
server-lessLinux
Data schemedepending on used data modelyes infolate-bound, schema-on-read capabilitiesyesschema-free
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.nononono
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsCypher Query Language
JDBC
JDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
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 proceduresyesuser defined functionsnoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users can be defined per object
More information provided by the system vendor
AgensGraphApache PhoenixDuckDBScyllaDB
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
AgensGraphApache PhoenixDuckDBScyllaDB
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