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TxData (ARM)
TxData (x86)
TxIRA
ArgoDB
Transwarp Distributed Analytical Database
Transwarp Distributed Analytical Database
One-stop Distributed Analytical Database
One-stop distributed
analytical database
Transwarp ArgoDB is a self-developed distributed analytical database to replace Hadoop+MPP hybrid architecture. It supports standard SQL syntax while providing leading technical capabilities such as multi-mode analysis, real-time data processing, storage and computation decoupling, hybrid workloads, data federation, heterogeneous server hybrid deployment. One single ArgoDB database can meet the various needs of data warehouse, real-time data warehouse, data marts, OLAP, AETP, federated computing, etc. ArgoDB improves business responsiveness while reducing platform complexity and total cost. As an excellent database product, it has successfully replaced products such as Oracle, DB2 and Teradata in various industries.
Transwarp ArgoDB is a self-developed distributed analytical database to replace Hadoop+MPP hybrid architecture. It supports standard SQL syntax while providing leading technical capabilities such as multi-mode analysis, real-time data processing, storage and computation decoupling, hybrid workloads, data federation, heterogeneous server hybrid deployment. One single ArgoDB database can meet the various needs of data warehouse, real-time data warehouse, data marts, OLAP, AETP, federated computing, etc. ArgoDB improves business responsiveness while reducing platform complexity and total cost. As an excellent database product, it has successfully replaced products such as Oracle, DB2 and Teradata in various industries.
Top 5 Reasons to Choose ArgoDB
Full SQL Support
Full SQL standard syntax support, compatibility with Oracle, IBM DB2, and Teradata dialects, compatibility with Oracle and DB2 storage procedures, and smooth data migration.
Efficient Compute Engine
Self-developed multiple computation optimization techniques to provide ultimate performance experience.
New Hardware Support
Self-developed storage engine to explore more potential of new storage hardware and provide cost-effective solutions.
Multi-model Support
Provides unified data management and supports four data models: relational, search, text and object
Federated Computing
Eradicates multi-source data syntax differences and ETL troubles, and uses a unified query language to easily achieve cross-database and cross-platform query, computing and analysis.
One-stop Distributed Analysis Type Flash Database
ArgoDB
Version 3.0.0
ClickHouse
Version 21.3.3.14
Spark
Version 3.1.1
—— TPC-H @1T performance test comparison ——
Number Comparison of Query Test Passed
22
ArgoDB
VS
8
ClickHouse
Product Performance Comparison
5.7
ArgoDB
:
1
ClickHouse
Performance comparison test products
ArgoDB
Version 3.0.0
VS
ClickHouse
Version 21.3.3.14
Spark
Version 3.1.1
ArgoDB VS ClickHouse
—— Result ——
ArgoDB ran all 22 queries; ClickHouse ran 8 queries and failed to run the other 14.
Comparing the 8 queries that both products have run, ArgoDB's overall performance was 5.7 times that of ClickHouse.
Server configuration
CPU：Intel Xeon E5-2680 v3 @2.50GHz (48 core)
Memory:256G
Storage:HDD 1.8T * 12
Network:Gigabit
Number:4 units
Multi-model, High performance, Easy to develop, Support complex scenarios
Fit for multi-model, high performance, easily developed, complex scenarios
Technical Scenarios
Online Analytical Processing
Online business analysis and exploration, fast response to business needs
Data Warehouses and Data Marts
Building high performance data warehouses and data marts
Real-time Data Warehouse
Connecting to stream computing engine for real-time response
AETP
Combined with KunDB to provide efficient data query, retrieval and analysis capabilities
Federated Computing
Provide unified SQL portal and unified compute scheduler
Online Analytical Processing
Online business analysis and exploration, fast response to business needs
Data Warehouses and Data Marts
Building high performance data warehouses and data marts
Real-time Data Warehouse
Connecting to stream computing engine for real-time response
AETP
Combined with KunDB to provide efficient data query, retrieval and analysis capabilities
Federated Computing
Provide unified SQL portal and unified compute scheduler
Industry Scenarios
Energy
Energy big data center
Power grid big data platform
IoT big data platform
Finance
Enterprise-level data warehouse/real-time data warehouse
Self-analysis platform
Regulatory data platform
Digital warehouse disaster recovery platform
Marketing management platform
Transport
Smart city
Smart metro
Transportation big data platform
Operator
Business analysis platform
Precise marketing platform
List query platform
User experience analysis platform
Government
Government affairs big data platform
Smart city
IoT big data platform
Taxation big data platform
Finance big data platform
Energy
Energy big data center
Power grid big data platform
IoT big data platform
Finance
Enterprise-level data warehouse/real-time data warehouse
Self-analysis platform
Regulatory data platform
Digital warehouse disaster recovery platform
Marketing management platform
Transport
Smart city
Smart metro
Transportation big data platform
Operator
Business analysis platform
Precise marketing platform
List query platform
User experience analysis platform
Government
Government affairs big data platform
Smart city
IoT big data platform
Taxation big data platform
Finance big data platform
Success Stories
Success Stories
SomeData Warehouse
Builds an enterprise-level high-performance data warehouse based on ArgoDB to achieve smooth migration of the original system and address the problems of high cost and inadequate performance of the Teradata platform.
● Multi-tenant platform empowering branches across the nation
● Hundreds of nodes of clusters with hundreds of TB of data
● Flexible query with an average return time of 3~5s
Builds an enterprise-level high-performance data warehouse based on ArgoDB to achieve smooth migration of the original system and address the problems of high cost and inadequate performance of the Teradata platform.
Transwarp, Shaping the Future Data World
