# Top 10 Datalogz Alternatives & Competitors **Average Rating:** 4.1/5 **Total Number of Reviews:** 11 If you are considering Datalogz, you may also want to investigate similar alternatives or competitors to find the best solution. DataOps Platforms is a widely used technology, and many people are seeking reliable, secure software solutions with data observability, automated workflows, and ai text summarization. Other important factors to consider when researching alternatives to Datalogz include reporting. The best overall Datalogz alternative is Databricks. Other similar apps like Datalogz are Monte Carlo, Hightouch, Fivetran, and Boost.space. Datalogz alternatives can be found in [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) but may also be in [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) or [ETL Tools](https://www.g2.com/categories/etl-tools). ## Best Paid & Free Alternatives to Datalogz - [Databricks](https://www.g2.com/products/databricks/reviews) - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [Boost.space](https://www.g2.com/products/boost-space/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) - [Keboola](https://www.g2.com/products/keboola/reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) ## Top 10 Alternatives to Datalogz Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Datalogz stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Computer & Network Security, and Financial Services, and find the best product for your business. ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) By Databricks Inc. **Average Rating:** 4.6/5 **Total Reviews:** 1,363 Making big data simple Reviewers say compared to Datalogz, Databricks is: - Better at support - Better at meeting requirements - More usable Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Databricks](https://www.g2.com/compare/databricks-vs-datalogz) **Compare Databricks with other alternatives:** - [Databricks vs Monte Carlo](https://www.g2.com/compare/databricks-vs-monte-carlo) - [Databricks vs Hightouch](https://www.g2.com/compare/databricks-vs-hightouch) - [Databricks vs Fivetran](https://www.g2.com/compare/databricks-vs-fivetran) - [Databricks vs Boost.space](https://www.g2.com/compare/boost-space-vs-databricks) - [Databricks vs dbt](https://www.g2.com/compare/databricks-vs-dbt) - [Databricks vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric) - [Databricks vs Keboola](https://www.g2.com/compare/databricks-vs-keboola) - [Databricks vs Cloudera](https://www.g2.com/compare/cloudera-vs-databricks) - [Databricks vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-databricks) ### 2. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) By Monte Carlo **Average Rating:** 4.3/5 **Total Reviews:** 536 Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime. Reviewers say compared to Datalogz, Monte Carlo is: - Better at support - Easier to do business with - More usable Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Monte Carlo](https://www.g2.com/compare/datalogz-vs-monte-carlo) **Compare Monte Carlo with other alternatives:** - [Monte Carlo vs Databricks](https://www.g2.com/compare/databricks-vs-monte-carlo) - [Monte Carlo vs Hightouch](https://www.g2.com/compare/hightouch-vs-monte-carlo) - [Monte Carlo vs Fivetran](https://www.g2.com/compare/fivetran-vs-monte-carlo) - [Monte Carlo vs Boost.space](https://www.g2.com/compare/boost-space-vs-monte-carlo) - [Monte Carlo vs dbt](https://www.g2.com/compare/monte-carlo-vs-dbt) - [Monte Carlo vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/monte-carlo-vs-servicenow-workflow-data-fabric) - [Monte Carlo vs Keboola](https://www.g2.com/compare/keboola-vs-monte-carlo) - [Monte Carlo vs Cloudera](https://www.g2.com/compare/cloudera-vs-monte-carlo) - [Monte Carlo vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-monte-carlo) ### 3. [Hightouch](https://www.g2.com/products/hightouch/reviews) By Hightouch **Average Rating:** 4.6/5 **Total Reviews:** 399 Hightouch is the easiest way to sync customer data into your tools like CRMs, email tools, and Ad networks. Sync data from any source (data warehouse, spreadsheets) to 70+ tools, using SQL or a point-and-click UI, without relying on favors from Engineering. For example, you can sync data on how leads are using your product to your CRM so that your sales reps can personalize messages and unlock product-led growth. Reviewers say compared to Datalogz, Hightouch is: - Better at support - More usable - Easier to do business with Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Hightouch](https://www.g2.com/compare/datalogz-vs-hightouch) **Compare Hightouch with other alternatives:** - [Hightouch vs Databricks](https://www.g2.com/compare/databricks-vs-hightouch) - [Hightouch vs Monte Carlo](https://www.g2.com/compare/hightouch-vs-monte-carlo) - [Hightouch vs Fivetran](https://www.g2.com/compare/fivetran-vs-hightouch) - [Hightouch vs Boost.space](https://www.g2.com/compare/boost-space-vs-hightouch) - [Hightouch vs dbt](https://www.g2.com/compare/hightouch-vs-dbt) - [Hightouch vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/hightouch-vs-servicenow-workflow-data-fabric) - [Hightouch vs Keboola](https://www.g2.com/compare/hightouch-vs-keboola) - [Hightouch vs Cloudera](https://www.g2.com/compare/cloudera-vs-hightouch) - [Hightouch vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-hightouch) ### 4. [Fivetran](https://www.g2.com/products/fivetran/reviews) By Fivetran **Average Rating:** 4.3/5 **Total Reviews:** 828 Fivetran is an ETL tool, designed to reinvent the simplicity by which data gets into data warehouses. Reviewers say compared to Datalogz, Fivetran is: - More usable - Easier to set up - Better at support Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Fivetran](https://www.g2.com/compare/datalogz-vs-fivetran) **Compare Fivetran with other alternatives:** - [Fivetran vs Databricks](https://www.g2.com/compare/databricks-vs-fivetran) - [Fivetran vs Monte Carlo](https://www.g2.com/compare/fivetran-vs-monte-carlo) - [Fivetran vs Hightouch](https://www.g2.com/compare/fivetran-vs-hightouch) - [Fivetran vs Boost.space](https://www.g2.com/compare/boost-space-vs-fivetran) - [Fivetran vs dbt](https://www.g2.com/compare/fivetran-vs-dbt) - [Fivetran vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/fivetran-vs-servicenow-workflow-data-fabric) - [Fivetran vs Keboola](https://www.g2.com/compare/fivetran-vs-keboola) - [Fivetran vs Cloudera](https://www.g2.com/compare/cloudera-vs-fivetran) - [Fivetran vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-fivetran) ### 5. [Boost.space](https://www.g2.com/products/boost-space/reviews) By Boost.space s.r.o. **Average Rating:** 4.6/5 **Total Reviews:** 350 Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, bidirectional synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your toolstack. Simply prompt and watch your business execute. Reviewers say compared to Datalogz, Boost.space is: - Better at support - Better at meeting requirements - Easier to do business with Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Boost.space](https://www.g2.com/compare/boost-space-vs-datalogz) **Compare Boost.space with other alternatives:** - [Boost.space vs Databricks](https://www.g2.com/compare/boost-space-vs-databricks) - [Boost.space vs Monte Carlo](https://www.g2.com/compare/boost-space-vs-monte-carlo) - [Boost.space vs Hightouch](https://www.g2.com/compare/boost-space-vs-hightouch) - [Boost.space vs Fivetran](https://www.g2.com/compare/boost-space-vs-fivetran) - [Boost.space vs dbt](https://www.g2.com/compare/boost-space-vs-dbt) - [Boost.space vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/boost-space-vs-servicenow-workflow-data-fabric) - [Boost.space vs Keboola](https://www.g2.com/compare/boost-space-vs-keboola) - [Boost.space vs Cloudera](https://www.g2.com/compare/boost-space-vs-cloudera) - [Boost.space vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-boost-space) ### 6. [dbt](https://www.g2.com/products/dbt/reviews) By Fivetran **Average Rating:** 4.7/5 **Total Reviews:** 209 dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. Reviewers say compared to Datalogz, dbt is: - Better at support - More usable - Better at meeting requirements Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs dbt](https://www.g2.com/compare/datalogz-vs-dbt) **Compare dbt with other alternatives:** - [dbt vs Databricks](https://www.g2.com/compare/databricks-vs-dbt) - [dbt vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-dbt) - [dbt vs Hightouch](https://www.g2.com/compare/hightouch-vs-dbt) - [dbt vs Fivetran](https://www.g2.com/compare/fivetran-vs-dbt) - [dbt vs Boost.space](https://www.g2.com/compare/boost-space-vs-dbt) - [dbt vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt) - [dbt vs Keboola](https://www.g2.com/compare/keboola-vs-dbt) - [dbt vs Cloudera](https://www.g2.com/compare/cloudera-vs-dbt) - [dbt vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-dbt) ### 7. [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) By ServiceNow **Average Rating:** 4.3/5 **Total Reviews:** 152 Unify your approach to hyperautomation with API integration and robotic process automation (RPA), all on a single platform. Automate and connect anything to ServiceNow. Reviewers say compared to Datalogz, ServiceNow Workflow Data Fabric is: - Better at support - Better at meeting requirements - Easier to do business with Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/datalogz-vs-servicenow-workflow-data-fabric) **Compare ServiceNow Workflow Data Fabric with other alternatives:** - [ServiceNow Workflow Data Fabric vs Databricks](https://www.g2.com/compare/databricks-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Monte Carlo](https://www.g2.com/compare/monte-carlo-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Hightouch](https://www.g2.com/compare/hightouch-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Fivetran](https://www.g2.com/compare/fivetran-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Boost.space](https://www.g2.com/compare/boost-space-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs dbt](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-dbt) - [ServiceNow Workflow Data Fabric vs Keboola](https://www.g2.com/compare/keboola-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Cloudera](https://www.g2.com/compare/cloudera-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-servicenow-workflow-data-fabric) ### 8. [Keboola](https://www.g2.com/products/keboola/reviews) By Keboola **Average Rating:** 4.6/5 **Total Reviews:** 142 Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products. Reviewers say compared to Datalogz, Keboola is: - Better at support - Easier to do business with - More usable Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Keboola](https://www.g2.com/compare/datalogz-vs-keboola) **Compare Keboola with other alternatives:** - [Keboola vs Databricks](https://www.g2.com/compare/databricks-vs-keboola) - [Keboola vs Monte Carlo](https://www.g2.com/compare/keboola-vs-monte-carlo) - [Keboola vs Hightouch](https://www.g2.com/compare/hightouch-vs-keboola) - [Keboola vs Fivetran](https://www.g2.com/compare/fivetran-vs-keboola) - [Keboola vs Boost.space](https://www.g2.com/compare/boost-space-vs-keboola) - [Keboola vs dbt](https://www.g2.com/compare/keboola-vs-dbt) - [Keboola vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/keboola-vs-servicenow-workflow-data-fabric) - [Keboola vs Cloudera](https://www.g2.com/compare/cloudera-vs-keboola) - [Keboola vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-keboola) ### 9. [Cloudera](https://www.g2.com/products/cloudera/reviews) By Cloudera **Average Rating:** 4.1/5 **Total Reviews:** 136 Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise. Reviewers say compared to Datalogz, Cloudera is: - Better at meeting requirements - More usable - Better at support Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Cloudera](https://www.g2.com/compare/cloudera-vs-datalogz) **Compare Cloudera with other alternatives:** - [Cloudera vs Databricks](https://www.g2.com/compare/cloudera-vs-databricks) - [Cloudera vs Monte Carlo](https://www.g2.com/compare/cloudera-vs-monte-carlo) - [Cloudera vs Hightouch](https://www.g2.com/compare/cloudera-vs-hightouch) - [Cloudera vs Fivetran](https://www.g2.com/compare/cloudera-vs-fivetran) - [Cloudera vs Boost.space](https://www.g2.com/compare/boost-space-vs-cloudera) - [Cloudera vs dbt](https://www.g2.com/compare/cloudera-vs-dbt) - [Cloudera vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/cloudera-vs-servicenow-workflow-data-fabric) - [Cloudera vs Keboola](https://www.g2.com/compare/cloudera-vs-keboola) - [Cloudera vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-cloudera) ### 10. [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) By Astronomer **Average Rating:** 4.5/5 **Total Reviews:** 136 Astronomer is a data engineering platform designed to collect, process and unifiy enterprise data, so users can get straight to analytics, data science and insights. Reviewers say compared to Datalogz, Astro by Astronomer is: - Better at support - More usable - Better at meeting requirements Categories in common with Datalogz: [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Compare:** [Datalogz vs Astro by Astronomer](https://www.g2.com/compare/astro-by-astronomer-vs-datalogz) **Compare Astro by Astronomer with other alternatives:** - [Astro by Astronomer vs Databricks](https://www.g2.com/compare/astro-by-astronomer-vs-databricks) - [Astro by Astronomer vs Monte Carlo](https://www.g2.com/compare/astro-by-astronomer-vs-monte-carlo) - [Astro by Astronomer vs Hightouch](https://www.g2.com/compare/astro-by-astronomer-vs-hightouch) - [Astro by Astronomer vs Fivetran](https://www.g2.com/compare/astro-by-astronomer-vs-fivetran) - [Astro by Astronomer vs Boost.space](https://www.g2.com/compare/astro-by-astronomer-vs-boost-space) - [Astro by Astronomer vs dbt](https://www.g2.com/compare/astro-by-astronomer-vs-dbt) - [Astro by Astronomer vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/astro-by-astronomer-vs-servicenow-workflow-data-fabric) - [Astro by Astronomer vs Keboola](https://www.g2.com/compare/astro-by-astronomer-vs-keboola) - [Astro by Astronomer vs Cloudera](https://www.g2.com/compare/astro-by-astronomer-vs-cloudera) ## Explore Articles - [User-friendly e-commerce platform for businesses](https://www.g2.com/discussions/user-friendly-e-commerce-platform-for-businesses) - [What are the top tools for promoting events across multiple channels?](https://www.g2.com/discussions/what-are-the-top-tools-for-promoting-events-across-multiple-channels) - [What asset leasing tools are genuinely affordable for a mid-size leasing company that wants modern software without paying for an enterprise platform built for Fortune 500 scale?](https://www.g2.com/discussions/what-asset-leasing-tools-are-genuinely-affordable-for-a-mid-size-leasing-company-that-wants-modern-software-without-paying-for-an-enterprise-platform-built-for-fortune-500-scale) - [Is a dedicated visual configuration platform worth it for a mid-size manufacturer, or do most buyers convert just as well from a CPQ?](https://www.g2.com/discussions/is-a-dedicated-visual-configuration-platform-worth-it-for-a-mid-size-manufacturer-or-do-most-buyers-convert-just-as-well-from-a-cpq) - [Highly recommended sales management software services](https://www.g2.com/discussions/highly-recommended-sales-management-software-services) - [Which ERM platforms are rated highest for mid-market organizations looking for a balance between cost and capability?](https://www.g2.com/discussions/which-erm-platforms-are-rated-highest-for-mid-market-organizations-looking-for-a-balance-between-cost-and-capability) ## Spotlight Categories - [Loyalty Management Software](https://www.g2.com/categories/loyalty-management) - [Digital Experience Platforms (DXP)](https://www.g2.com/categories/digital-experience-platforms-dxp) - [Influencer Marketing Platforms](https://www.g2.com/categories/influencer-marketing-platforms)