Actian Vector

Actian Vector

Actian From United States

Actian Vector is a high-performance, in-memory columnar analytics database designed for cloud, hybrid, and on-premises deployment. Trusted by regulated industries, it offers exceptional speed and scalability, leveraging SIMD vectorization for rapid analytical queries. With zero-lag real-time data retrieval, automatic storage indexing, and strong security measures, it enables efficient processing of diverse data formats while maximizing concurrency and minimizing costs.

Top Actian Vector Alternatives

StackScan

StackScan

Curious about a website’s technology stack? Use StackScan to explore 50,000+ technologies across 450+ categories of stacks.

StackScan Pte Ltd
Starburst Enterprise

Starburst Enterprise

Starburst Enterprise is a dynamic Big Data platform designed for seamless operation across on-premises, hybrid, and cloud environments. It connects over 50 data sources, enabling organizations to perform advanced analytics without the complexities of data movement. Enhanced Trino technology ensures high performance, scalability, and security, making it ideal for diverse industries.

Starburst Data From United States
Riak KV

Riak KV

Riak KV is a distributed NoSQL database designed for modern web and IoT applications, ensuring high availability and resilience. Its flexible key-value data model caters to diverse use cases, from real-time big data to profile management. With minimal operational overhead, Riak KV empowers businesses to seamlessly scale while maintaining performance even under peak loads.

Riak From United States
Diyotta

Diyotta

Diyotta is a cutting-edge big data software that empowers IT teams to seamlessly connect diverse data sources and efficiently transfer large data volumes to various repositories across cloud, multi-cloud, and on-premise environments. Its innovative 100% pushdown data integration capabilities optimize modern data processing platforms such as Hadoop, Snowflake, and Google BigQuery, enhancing data accessibility and usability for organizations.

ThoughtSpot From United States
HPE Ezmeral Data Fabric

HPE Ezmeral Data Fabric

HPE Ezmeral Data Fabric Software offers a fully managed service, providing users with a 300GB instance to explore advanced features. As enterprises face data distribution across diverse locations, this solution enhances data visibility and workload control, streamlining analytics in hybrid environments while mitigating risks and optimizing costs.

Hewlett Packard Enterprise From United States
Data Reef

Data Reef

With an impressive safety record, Data Reef offers a secure platform for maximizing data potential. Established eight years ago, it employs a step-by-step methodology to streamline data auditing, alignment, amplification, and achievement. Recent checks confirm its reliability, ensuring users engage without concerns of malicious or adult content.

From United States
Dremio

Dremio

Dremio revolutionizes big data management by enabling organizations to access and utilize data with unprecedented speed and simplicity. It eliminates the need for complex ETL processes, unifying diverse data sources and facilitating direct access for data scientists. With advanced features like autonomous performance optimization, it enhances AI readiness, accelerates analytics, and democratizes data access across enterprises.

Dremio From United States
Fico Big Data Analyzer

Fico Big Data Analyzer

FICO® Big Data Analyzer offers a specialized analytics environment tailored for modern data professionals. It enables users—from business analysts to data scientists—to collaboratively explore diverse datasets on Hadoop, uncovering actionable insights. As part of the FICO® Decision Management Suite, it enhances the analytics lifecycle, facilitating informed decision-making across enterprises.

FICO From United States
HEAVY.AI

HEAVY.AI

The HEAVY.AI platform revolutionizes data analytics, allowing businesses and governments to uncover insights hidden within vast datasets. By leveraging cutting-edge CPU and GPU technology, it enables users to efficiently explore geospatial and time-series data, combining interactive visual analytics and advanced SQL capabilities for timely decision-making and risk identification.

HEAVY.AI From United States
Fortra Sequel

Fortra Sequel

Sequel transforms data access for IBM i, offering advanced querying and reporting tools that empower IT teams and business users alike. Its seamless integration with existing Query/400 queries and intuitive interfaces streamline operations, allowing users to analyze and distribute critical data efficiently, ultimately enhancing decision-making across organizations.

Fortra From United States
Delta Lake

Delta Lake

Delta Lake 3.3.0 enhances Apache Spark™ 3.5 with a robust open-source storage framework designed for a format-agnostic Lakehouse architecture. It supports multiple compute engines, offers ACID transactions for data integrity, and enables seamless interoperability via the Delta Universal Format. It efficiently manages petabyte-scale tables while providing features like time travel and schema enforcement.

Delta Lake From United States
Informatica Data Engineering

Informatica Data Engineering

Informatica Data Engineering offers AI-powered cloud solutions that ensure high-quality, reliable data for analysts and data scientists. It enables efficient ingestion and real-time replication of databases, files, and streaming data, allowing organizations to build intelligent, automated data pipelines for advanced analytics and seamless cloud modernization tailored to industry needs.

Informatica From United States
Hypertable

Hypertable

Hypertable offers a high-performance, scalable database solution that enhances big data applications while minimizing hardware needs. By integrating seamlessly with Hadoop, it maximizes efficiency and performance, resulting in significant cost savings. With robust commercial support and a design rooted in Google's scalability requirements, Hypertable stands out as a premier choice for mission-critical applications.

Hypertable, Inc. From United States
Databricks Data Intelligence Platform

Databricks Data Intelligence Platform

The Databricks Data Intelligence Platform empowers organizations to harness data and AI seamlessly through its innovative lakehouse architecture. This platform features a Data Intelligence Engine that tailors performance and infrastructure management to unique business needs, while natural language capabilities enhance user experience, simplifying data discovery and application development without compromising governance or security.

Databricks From United States
Tamr

Tamr

Harnessing the power of AI and human feedback, this next-generation data mastering platform eliminates data silos, enabling businesses to achieve real-time, trustworthy master data. By automating data cleansing and enrichment, it empowers organizations to confidently drive decisions and streamline operations, significantly reducing the complexity and effort traditionally associated with data management.

Tamr From United States
CENX Service Assurance

CENX Service Assurance

CENX Service Assurance transforms network management by providing a unified view of service topology, inventory, faults, and performance across diverse systems. This visibility enables operators to optimize hybrid communications networks, automate processes, and efficiently deploy advanced technologies like NFV, SDN, SON, and 5G, facilitating rapid service delivery and innovative business models.

Ericsson From United States

Company Information

  • Company: Actian
  • Country: United States

Top Actian Vector Features

  • In-memory columnar analytics
  • SIMD vectorization support
  • 100x faster than RAM
  • Maximize concurrency capabilities
  • Real-time data retrieval
  • Zero performance bottlenecks
  • Multi-cloud deployment options
  • Automatic storage indexing
  • Advanced external tables support
  • REGEX pattern matching functionality
  • Phased non-disruptive migrations
  • Dynamic data masking features
  • Encryption at rest and transit
  • High-performance MPP architecture
  • Fast implementation with minimal tuning
  • Continuous updates without penalties
  • Sub-second query response times
  • Extensive data format integration
  • Fast analytical workload processing.