Best Data Warehouse Software for Freelancers - Page 2

Compare the Top Data Warehouse Software for Freelancers as of April 2026 - Page 2

  • 1
    Weld

    Weld

    Weld

    Create, edit and organize your data models. No need to get yet another data tool for your data models. Create and manage them in Weld. Packed with features that will make creating your data models a breeze: smart autocomplete, code folding, error highlighting, audit logs, version control and collaboration. Plus, we use the same text editor as VS Code – it's fast, powerful and easy on the eye. Your queries are organized in an easily searchable and accessible library. Audit logs also let you see when the query was last updated, and by who. Weld Model supports materializing models as tables, incremental tables, views, or a custom materialization of your design. Run all your data operations in one simple platform – with help from a dedicated team of data analysts.
    Starting Price: €750 per month
  • 2
    Fortra Sequel
    Sequel delivers business intelligence solutions for Power Systems™ running on IBM i. With powerful query and reporting capabilities, Sequel makes it easy to access, analyze, and distribute data exactly how you want it. Sequel delivers affordable IBM i business intelligence to IT, business users, and executives alike. Today, thousands of customers worldwide count on Sequel for access to the data they need, when they need it. IT users can get the software up and running quickly, easily integrate existing queries from Query/400, and deliver data to users at lightning speed. Plus, with Sequel’s intuitive interfaces (green screen, graphical user interface—Sequel Viewpoint, and browser), IT can turn data access over to business users and executives—and free up their time to respond to more critical requests efficiently. iSeries reporting just got easier.
  • 3
    OpenText Analytics Database (Vertica)
    OpenText Analytics Database is a high-performance, scalable analytics platform that enables organizations to analyze massive data sets quickly and cost-effectively. It supports real-time analytics and in-database machine learning to deliver actionable business insights. The platform can be deployed flexibly across hybrid, multi-cloud, and on-premises environments to optimize infrastructure and reduce total cost of ownership. Its massively parallel processing (MPP) architecture handles complex queries efficiently, regardless of data size. OpenText Analytics Database also features compatibility with data lakehouse architectures, supporting formats like Parquet and ORC. With built-in machine learning and broad language support, it empowers users from SQL experts to Python developers to derive predictive insights.
  • 4
    Querona

    Querona

    YouNeedIT

    We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.
  • 5
    Blendo

    Blendo

    Blendo

    Blendo is the leading ETL and ELT data integration tool to dramatically simplify how you connect data sources to databases. With natively built data connection types supported, Blendo makes the extract, load, transform (ETL) process a breeze. Automate data management and data transformation to get to BI insights faster. Data analysis doesn’t have to be a data warehousing, data management, or data integration problem. Automate and sync your data from any SaaS application into your data warehouse. Just use ready-made connectors to connect to any data source, simple as a login process, and your data will start syncing right away. No more integrations to built, data to export or scripts to build. Save hours and unlock insights into your business. Accelerate your exploration to insights time, with reliable data, analytics-ready tables and schemas, created and optimized for analysis with any BI software.
  • 6
    Sesame Software

    Sesame Software

    Sesame Software

    Sesame Software specializes in secure, efficient data integration and replication across diverse cloud, hybrid, and on-premise sources. Our patented scalability ensures comprehensive access to critical business data, facilitating a holistic view in the BI tools of your choice. This unified perspective empowers your own robust reporting and analytics, enabling your organization to regain control of your data with confidence. At Sesame Software, we understand what’s at stake when you need to move a massive amount of data between environments quickly—while keeping it protected, maintaining centralized access, and ensuring compliance with regulations. Over the past 30+ years, we’ve helped hundreds of organizations like Proctor & Gamble, Bank of America, and the U.S. government connect, move, store, and protect their data.
  • 7
    GeoSpock

    GeoSpock

    GeoSpock

    GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.
  • 8
    IBM Db2
    IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.
  • 9
    Firebolt

    Firebolt

    Firebolt Analytics

    Firebolt delivers extreme speed and elasticity at any scale solving your impossible data challenges. Firebolt has completely redesigned the cloud data warehouse to deliver a super fast, incredibly efficient analytics experience at any scale. An order-of-magnitude leap in performance means you can analyze much more data at higher granularity with lightning fast queries. Easily scale up or down to support any workload, amount of data and concurrent users. At Firebolt we believe that data warehouses should be much easier to use than what we’re used to. That's why we focus on turning everything that used to be complicated and labor intensive into simple tasks. Cloud data warehouse providers profit from the cloud resources you consume. We don’t! Finally, a pricing model that is fair, transparent, and allows you to scale without breaking the bank.
  • 10
    Apache Druid
    Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
  • 11
    Vaultspeed

    Vaultspeed

    VaultSpeed

    Experience faster data warehouse automation. The Vaultspeed automation tool is built on the Data Vault 2.0 standard and a decade of hands-on experience in data integration projects. Get support for all Data Vault 2.0 objects and implementation options. Generate quality code fast for all scenarios in a Data Vault 2.0 integration system. Plug Vaultspeed into your current set-up and leverage your investments in tools and knowledge. Get guaranteed compliance with the latest Data Vault 2.0 standard. We are in continuous interaction with Scalefree, the body of knowledge for the Data Vault 2.0 community. The Data Vault 2.0 modelling approach strips the model components to their bare minimum so they can be loaded through the same loading pattern (repeatable pattern) and have the same database structure. Vaultspeed works with a template system, which understands the structure of the object types, and easy-to-set configuration parameters.
    Starting Price: €600 per user per month
  • 12
    Y42

    Y42

    Datos-Intelligence GmbH

    Y42 is the first fully managed Modern DataOps Cloud. It is purpose-built to help companies easily design production-ready data pipelines on top of their Google BigQuery or Snowflake cloud data warehouse. Y42 provides native integration of best-of-breed open-source data tools, comprehensive data governance, and better collaboration for data teams. With Y42, organizations enjoy increased accessibility to data and can make data-driven decisions quickly and efficiently.
  • 13
    Actian Avalanche
    Actian Avalanche is a fully managed hybrid cloud data warehouse service designed from the ground up to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a fraction of the cost of alternative solutions. It is a true hybrid platform that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling you to migrate or offload applications and data to the cloud at your own pace. Actian Avalanche delivers the best price-performance in the industry outof-the-box without DBA tuning and optimization techniques. For the same cost as alternative solutions, you can benefit from substantially better performance or chose the same performance for significantly lower cost. For example, Avalanche provides up to 6x the price-performance advantage over Snowflake as measured by GigaOm’s TPC-H industry standard benchmark and even more against many of the appliance vendors.
  • 14
    Astera Data Warehouse Builder
    Astera Data Warehouse Builder is an AI-powered platform that enables organizations to design, build, and deploy production-ready data warehouses through a conversational, chat-based interface. It allows users to go from prompt to fully operational data warehouse without writing code. The platform uses agentic AI to automate data modeling, ETL/ELT pipeline creation, and ongoing maintenance. Astera supports rapid data consolidation from databases, files, cloud services, and other sources into a unified warehouse. With self-driving automation, it significantly reduces build time, ownership cost, and maintenance effort. The solution supports modern architectures, legacy migrations, and advanced modeling techniques. Astera Data Warehouse Builder helps teams launch reliable, analysis-ready data warehouses in days instead of months.
  • 15
    Lyftrondata

    Lyftrondata

    Lyftrondata

    Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.
  • 16
    Mozart Data

    Mozart Data

    Mozart Data

    Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required.
  • 17
    Conversionomics

    Conversionomics

    Conversionomics

    Set up all the automated connections you want, no per connection charges. Set up all the automated connections you want, no per-connection charges. Set up and scale your cloud data warehouse and processing operations – no tech expertise required. Improvise and ask the hard questions of your data – you’ve prepared it all with Conversionomics. It’s your data and you can do what you want with it – really. Conversionomics writes complex SQL for you to combine source data, lookups, and table relationships. Use preset Joins and common SQL or write your own SQL to customize your query and automate any action you could possibly want. Conversionomics is an efficient data aggregation tool that offers a simple user interface that makes it easy to quickly build data API sources. From those sources, you’ll be able to create impressive and interactive dashboards and reports using our templates or your favorite data visualization tools.
    Starting Price: $250 per month
  • 18
    Dimodelo

    Dimodelo

    Dimodelo

    Stay focused on delivering valuable and impressive reporting, analytics and insights, instead of being stuck in data warehouse code. Don’t let your data warehouse become a jumble of 100’s of hard-to-maintain pipelines, notebooks, stored procedures, tables. and views etc. Dimodelo DW Studio dramatically reduces the effort required to design, build, deploy and run a data warehouse. Design, generate and deploy a data warehouse targeting Azure Synapse Analytics. Generating a best practice architecture utilizing Azure Data Lake, Polybase and Azure Synapse Analytics, Dimodelo Data Warehouse Studio delivers a high-performance, modern data warehouse in the cloud. Utilizing parallel bulk loads and in-memory tables, Dimodelo Data Warehouse Studio generates a best practice architecture that delivers a high-performance, modern data warehouse in the cloud.
    Starting Price: $899 per month
  • 19
    MaxCompute

    MaxCompute

    Alibaba Cloud

    MaxCompute (previously known as ODPS) is a general-purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security. Supports EB-level data storage and computing. Supports SQL, MapReduce, and Graph computational models and Message Passing Interface (MPI) iterative algorithms. Provides more efficient computing and storage services than an enterprise private cloud, and reduces the purchase cost by 20% to 30%. Provides stable offline analysis services for more than seven years, and enables multi-level sandbox protection and monitoring. MaxCompute uses tunnels to transmit data. Tunnels are scalable, and import and export PB-level data on a daily basis. You can import all data or history data through multiple tunnels.
  • 20
    AnalyticDB

    AnalyticDB

    Alibaba Cloud

    AnalyticDB for MySQL is a high-performance data warehousing service that is secure, stable, and easy to use. It allows you to easily create online statistical reports, multidimensional analysis solutions, and real-time data warehouses. AnalyticDB for MySQL uses a distributed computing architecture that enables it to use the elastic scaling capability of the cloud to compute tens of billions of data records in real time. AnalyticDB for MySQL stores data based on relational models and can use SQL to flexibly compute and analyze data. AnalyticDB for MySQL also allows you to easily manage databases, scale in or out nodes, and scale up or down instances. It provides various visualization and ETL tools to make enterprise data processing easier. Provides instant multidimensional analysis and can explore large amounts of data in milliseconds.
    Starting Price: $0.248 per hour
  • 21
    Acho

    Acho

    Acho

    Unify all your data in one hub with 100+ built-in and universal API data connectors. Make them accessible to your whole team. Transform data with simple points and clicks. Build robust data pipelines with built-in data manipulation tools and automated schedulers. Save hours spent on sending your data somewhere manually. Use Workflow to automate the process from databases to BI tools, from apps to databases. A full suite of data cleaning and transformation tools is available in the no-code format, eliminating the need to write complex expressions or code. Data is only useful when insights are drawn. Upgrade your database to an analytical engine with native cloud-based BI tools. No connectors are needed, all data projects on Acho can be analyzed and visualized on our Visual Panel off the shelf, at a blazing-fast speed too.
  • 22
    RoeAI

    RoeAI

    RoeAI

    Use AI-Powered SQL to do data extraction, classification and RAG on documents, webpages, videos, images and audio. Over 90% of the data in financial and insurance services gets passed around in PDF format. It's a tough nut to crack due to the complex tables, charts, and graphics it contains. With Roe, you can transform years' worth of financial documents into structured data and semantic embeddings, seamlessly integrating them with your preferred chatbot. Identifying the fraudsters have been a semi-manual problem for decades. The documents types are so heterogenous and way too complex for human to review efficiently. With RoeAI, you can efficiently build identify AI-powered tagging for millions of documents, IDs, videos.
  • 23
    Onehouse

    Onehouse

    Onehouse

    The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion.
  • 24
    Bliss

    Bliss

    Bliss

    Bliss helps companies that are too small or early for tools like Snowflake by bringing all of their company data together into an automated data warehouse. This lets them get the most out of their favorite AI and BI tools.
    Starting Price: $99/month
  • 25
    IBM watsonx.data
    Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more.
  • 26
    beVault

    beVault

    beVault

    beVault is a comprehensive data management automation platform designed to address the challenges of evolving business requirements and data structures. It enables rapid creation and deployment of new business cases, accelerating data warehouse automation processes by up to five times, thereby reducing time-to-market and maintaining business agility. The platform fosters seamless collaboration between IT and business teams through its business-centric, user-friendly interface, allowing for the co-construction of data models without technical barriers. As an all-in-one, low-code solution, beVault minimizes the need for expensive resources and multiple licenses, consolidating data management tools to reduce implementation and operational costs. Key features include an evolutive business-oriented model that scales with data needs, an embedded data quality framework to ensure high standards, and a hybrid architecture offering on-premises, cloud, or hybrid deployment options.
  • 27
    Cloudera Data Warehouse
    Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
  • 28
    CelerData Cloud
    CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings.
  • 29
    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
  • 30
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
MongoDB Logo MongoDB