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DBMS > AnzoGraph DB vs. Apache Druid vs. Faircom DB vs. RisingWave vs. SingleStore

System Properties Comparison AnzoGraph DB vs. Apache Druid vs. Faircom DB vs. RisingWave vs. SingleStore

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRisingWave  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitecambridgesemantics.com/­anzographdruid.apache.orgwww.faircom.com/­products/­faircom-dbwww.risingwave.com/­databasewww.singlestore.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.risingwave.com/­docs/­current/­introdocs.singlestore.com
DeveloperCambridge SemanticsApache Software Foundation and contributorsFairCom CorporationRisingWave LabsSingleStore Inc.
Initial release20182012197920222013
Current release2.3, January 202129.0.1, April 2024V12, November 20201.2, September 20238.5, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache license v2commercial infoRestricted, free version availableOpen Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaANSI C, C++RustC++, Go
Server operating systemsLinuxLinux
OS X
Unix
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Docker
Linux
macOS
Linux info64 bit version required
Data schemeSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresStandard SQL-types and JSONyes
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingyes, ANSI SQL with proprietary extensionsyesyes infobut no triggers and foreign keys
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++UDFs in Python or Javayes
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infomanual/auto, time-basedFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually ConsistentnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained access rights according to SQL-standard with additional protections for filesUsers and RolesFine grained access control via users, groups and roles
More information provided by the system vendor
AnzoGraph DBApache DruidFaircom DB infoformerly c-treeACERisingWaveSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
AnzoGraph DBApache DruidFaircom DB infoformerly c-treeACERisingWaveSingleStore infoformer name was MemSQL
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