Question: I'm looking for a scalable solution to handle large data imports with high performance and security, do you know of any options?

Airbyte screenshot thumbnail

Airbyte

For a scalable solution that can handle big data imports with high performance and security, Airbyte is a strong contender. It's a full data integration platform with more than 300 data sources and a variety of destinations, supporting both structured and unstructured data. Airbyte has features like automated schema evolution, strong security (CCPA, GDPR, SOC2, HIPAA) and flexible deployment. That makes it a good fit for companies that need data integration to be fast, secure and scalable.

SingleStore screenshot thumbnail

SingleStore

Another strong contender is SingleStore, a real-time data platform geared for petabyte-scale data sets. It can handle both transactional and analytical data in a single database engine, has high-throughput streaming data ingestion and can return results in milliseconds. SingleStore's universal store combines the benefits of columnstore and rowstore databases, and it offers flexible scaling, making it a good choice for applications that require fast, secure and scalable data.

Estuary screenshot thumbnail

Estuary

Estuary is another contender for real-time data integration, specializing in change data capture and ETL. It has more than 100 no-code connectors, sub-100ms end-to-end latency and automated pipelines with schema evolution. Estuary's flexible pricing and enterprise support make it a good choice for fast-moving DataOps and companies that need low-latency data pipelines.

Fivetran screenshot thumbnail

Fivetran

Fivetran automates data integration from more than 500 sources, including SaaS apps and databases. It's designed to integrate data securely in on-premise, cloud and hybrid environments and supports several major compliance standards. Fivetran's automated data integration and real-time analytics can make data operations easier and decision-making faster for complex data integration situations.

Additional AI Projects

nuvo screenshot thumbnail

nuvo

Automatically imports, maps, validates, and cleans data from various sources, including CSV and Excel files, without manual reformatting or custom scripting.

Informatica screenshot thumbnail

Informatica

Accelerates AI-readiness by connecting, managing, and unifying data across multi-cloud and hybrid environments, making data more accessible and impactful.

Flatfile screenshot thumbnail

Flatfile

Automatically import clean, normalized, and validated data with AI-assisted column matching, customizable workflows, and scalable enterprise infrastructure.

Matillion screenshot thumbnail

Matillion

Create data pipelines with no-code ELT, leveraging AI to process unstructured data, and automate tasks with centralized visibility and security.

MovingLake screenshot thumbnail

MovingLake

Seamlessly integrate and synchronize data in real-time across multiple APIs, systems, and repositories, eliminating data drift and scheduler hassles.

TABLUM.IO screenshot thumbnail

TABLUM.IO

Automatically converts raw, unstructured data from various sources into analytics-ready SQL tables, streamlining data preparation and integration.

Peaka screenshot thumbnail

Peaka

Links multiple data sources, including databases and APIs, into a single queryable source, eliminating ETL processes and enabling real-time data access.

Aiven screenshot thumbnail

Aiven

Unify data infrastructure management across multiple clouds, streamlining app development, security, and compliance, while optimizing cloud costs.

Kadoa screenshot thumbnail

Kadoa

Automates data extraction, transformation, and integration, allowing users to focus on utilizing insights, not collecting and processing data.

Jitsu screenshot thumbnail

Jitsu

Extract event data from various sources, unify it in a single warehouse, and stream it in real-time for immediate analysis and insights.

Secoda screenshot thumbnail

Secoda

Unifies data catalog, lineage, governance, and monitoring, with AI-powered search, automated workflows, and contextual answers to complex data questions.

Databar screenshot thumbnail

Databar

Connect to 1,000+ APIs without coding, automate workflows, and enrich data in real-time to power business operations across various industries.

MindsDB screenshot thumbnail

MindsDB

Connects data to AI with 200+ integrations, allowing developers to create tailored AI solutions using their own enterprise data and multiple AI engines.

Qubinets screenshot thumbnail

Qubinets

Automates setup and management of open-source data infrastructure, letting developers focus on code, not infrastructure, for faster project deployment.

MinIO screenshot thumbnail

MinIO

High-performance object storage for cloud-native workloads, scalable and compatible with Amazon S3.

Nanonets screenshot thumbnail

Nanonets

Automate data extraction from unstructured sources, leveraging AI-driven workflows to extract, enrich, and validate information, freeing employees from repetitive tasks.

Varonis screenshot thumbnail

Varonis

Continuously discovers and classifies critical data, removes exposures, and stops threats in real-time using AI-powered automation.

Xata screenshot thumbnail

Xata

Serverless Postgres environment with auto-scaling, zero-downtime schema migrations, and AI integration for vector embeddings and personalized experiences.

EDB Postgres AI screenshot thumbnail

EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

Arch screenshot thumbnail

Arch

Centralizes data from multiple systems, presenting unified metrics for each portfolio company, and automates data warehousing and ELT orchestration for efficient customer management.